"fmt"
"io"
"io/ioutil"
+ "math"
"net/http"
_ "net/http/pprof"
"os"
"regexp"
"runtime"
+ "runtime/debug"
"sort"
"strconv"
"strings"
"sync/atomic"
+ "unsafe"
"git.arvados.org/arvados.git/sdk/go/arvados"
"github.com/arvados/lightning/hgvs"
)
type sliceNumpy struct {
- filter filter
- threads int
+ filter filter
+ threads int
+ chi2CaseControlColumn string
+ chi2CaseControlFile string
+ chi2Cases []bool
+ chi2PValue float64
+ minCoverage int
+ cgnames []string
}
func (cmd *sliceNumpy) RunCommand(prog string, args []string, stdin io.Reader, stdout, stderr io.Writer) int {
mergeOutput := flags.Bool("merge-output", false, "merge output into one matrix.npy and one matrix.annotations.csv")
hgvsSingle := flags.Bool("single-hgvs-matrix", false, "also generate hgvs-based matrix")
hgvsChunked := flags.Bool("chunked-hgvs-matrix", false, "also generate hgvs-based matrix per chromosome")
+ onehotSingle := flags.Bool("single-onehot", false, "generate one-hot tile-based matrix")
+ onehotChunked := flags.Bool("chunked-onehot", false, "generate one-hot tile-based matrix per input chunk")
flags.IntVar(&cmd.threads, "threads", 16, "number of memory-hungry assembly threads")
+ flags.StringVar(&cmd.chi2CaseControlFile, "chi2-case-control-file", "", "tsv file or directory indicating cases and controls for Χ² test (if directory, all .tsv files will be read)")
+ flags.StringVar(&cmd.chi2CaseControlColumn, "chi2-case-control-column", "", "name of case/control column in case-control files for Χ² test (value must be 0 for control, 1 for case)")
+ flags.Float64Var(&cmd.chi2PValue, "chi2-p-value", 1, "do Χ² test and omit columns with p-value above this threshold")
cmd.filter.Flags(flags)
err = flags.Parse(args)
if err == flag.ErrHelp {
}()
}
+ if cmd.chi2PValue != 1 && (cmd.chi2CaseControlFile == "" || cmd.chi2CaseControlColumn == "") {
+ log.Errorf("cannot use provided -chi2-p-value=%f because -chi2-case-control-file= or -chi2-case-control-column= value is empty", cmd.chi2PValue)
+ return 2
+ }
+
if !*runlocal {
runner := arvadosContainerRunner{
Name: "lightning slice-numpy",
KeepCache: 2,
APIAccess: true,
}
- err = runner.TranslatePaths(inputDir, regionsFilename)
+ err = runner.TranslatePaths(inputDir, regionsFilename, &cmd.chi2CaseControlFile)
if err != nil {
return 1
}
"-merge-output=" + fmt.Sprintf("%v", *mergeOutput),
"-single-hgvs-matrix=" + fmt.Sprintf("%v", *hgvsSingle),
"-chunked-hgvs-matrix=" + fmt.Sprintf("%v", *hgvsChunked),
+ "-single-onehot=" + fmt.Sprintf("%v", *onehotSingle),
+ "-chunked-onehot=" + fmt.Sprintf("%v", *onehotChunked),
+ "-chi2-case-control-file=" + cmd.chi2CaseControlFile,
+ "-chi2-case-control-column=" + cmd.chi2CaseControlColumn,
+ "-chi2-p-value=" + fmt.Sprintf("%f", cmd.chi2PValue),
}
runner.Args = append(runner.Args, cmd.filter.Args()...)
var output string
return 0
}
- infiles, err := allGobFiles(*inputDir)
+ infiles, err := allFiles(*inputDir, matchGobFile)
if err != nil {
return 1
}
}
sort.Strings(infiles)
- var cgnames []string
var refseq map[string][]tileLibRef
var reftiledata = make(map[tileLibRef][]byte, 11000000)
in0, err := open(infiles[0])
return 1
}
- taglen := -1
+ cmd.cgnames = nil
+ var tagset [][]byte
DecodeLibrary(in0, strings.HasSuffix(infiles[0], ".gz"), func(ent *LibraryEntry) error {
if len(ent.TagSet) > 0 {
- taglen = len(ent.TagSet[0])
+ tagset = ent.TagSet
}
for _, cseq := range ent.CompactSequences {
if cseq.Name == *ref || *ref == "" {
}
for _, cg := range ent.CompactGenomes {
if matchGenome.MatchString(cg.Name) {
- cgnames = append(cgnames, cg.Name)
+ cmd.cgnames = append(cmd.cgnames, cg.Name)
}
}
for _, tv := range ent.TileVariants {
err = fmt.Errorf("%s: reference sequence not found", infiles[0])
return 1
}
- if taglen < 0 {
+ if len(tagset) == 0 {
err = fmt.Errorf("tagset not found")
return 1
}
- if len(cgnames) == 0 {
+
+ taglib := &tagLibrary{}
+ err = taglib.setTags(tagset)
+ if err != nil {
+ return 1
+ }
+ taglen := taglib.TagLen()
+
+ if len(cmd.cgnames) == 0 {
err = fmt.Errorf("no genomes found matching regexp %q", cmd.filter.MatchGenome)
return 1
}
- sort.Strings(cgnames)
+ sort.Strings(cmd.cgnames)
+ err = cmd.useCaseControlFiles()
+ if err != nil {
+ return 1
+ }
+ cmd.minCoverage = int(math.Ceil(cmd.filter.MinCoverage * float64(len(cmd.cgnames))))
{
- labelsFilename := *outputDir + "/labels.csv"
+ labelsFilename := *outputDir + "/samples.csv"
log.Infof("writing labels to %s", labelsFilename)
var f *os.File
f, err = os.Create(labelsFilename)
return 1
}
defer f.Close()
- for i, name := range cgnames {
- _, err = fmt.Fprintf(f, "%d,%q\n", i, trimFilenameForLabel(name))
+ for i, name := range cmd.cgnames {
+ cc := 0
+ if cmd.chi2Cases != nil && cmd.chi2Cases[i] {
+ cc = 1
+ }
+ _, err = fmt.Fprintf(f, "%d,%q,%d\n", i, trimFilenameForLabel(name), cc)
if err != nil {
err = fmt.Errorf("write %s: %w", labelsFilename, err)
return 1
err = fmt.Errorf("missing tiledata for tag %d variant %d in %s in ref", libref.Tag, libref.Variant, seqname)
return 1
}
+ foundthistag := false
+ taglib.FindAll(tiledata[:len(tiledata)-1], func(tagid tagID, offset, _ int) {
+ if !foundthistag && tagid == libref.Tag {
+ foundthistag = true
+ return
+ }
+ if dupref, ok := reftile[tagid]; ok {
+ log.Printf("dropping reference tile %+v, tag not unique, also found inside %+v from %s @ %d", dupref, libref, seqname, pos+offset+1)
+ delete(reftile, tagid)
+ } else {
+ log.Printf("found tag %d at offset %d inside tile variant %+v on %s @ %d", tagid, offset, libref, seqname, pos+offset+1)
+ }
+ isdup[tagid] = true
+ })
if isdup[libref.Tag] {
log.Printf("dropping reference tile %+v from %s @ %d, tag not unique", libref, seqname, pos)
} else if reftile[libref.Tag] != nil {
log.Printf("after applying mask, len(reftile) == %d", len(reftile))
}
+ type hgvsColSet map[hgvs.Variant][2][]int8
+ encodeHGVS := throttle{Max: len(refseq)}
+ encodeHGVSTodo := map[string]chan hgvsColSet{}
tmpHGVSCols := map[string]*os.File{}
- bufHGVSCols := map[string]*bufio.Writer{}
- encodeHGVSCols := map[string]*gob.Encoder{}
if *hgvsChunked {
for seqname := range refseq {
var f *os.File
bufw := bufio.NewWriterSize(f, 1<<24)
enc := gob.NewEncoder(bufw)
tmpHGVSCols[seqname] = f
- bufHGVSCols[seqname] = bufw
- encodeHGVSCols[seqname] = enc
+ todo := make(chan hgvsColSet, 128)
+ encodeHGVSTodo[seqname] = todo
+ encodeHGVS.Go(func() error {
+ for colset := range todo {
+ err := enc.Encode(colset)
+ if err != nil {
+ encodeHGVS.Report(err)
+ for range todo {
+ }
+ return err
+ }
+ }
+ return bufw.Flush()
+ })
}
}
if *mergeOutput || *hgvsSingle {
toMerge = make([][]int16, len(infiles))
}
+ var onehotIndirect [][2][]uint32 // [chunkIndex][axis][index]
+ var onehotXrefs [][]onehotXref
+ if *onehotSingle {
+ onehotIndirect = make([][2][]uint32, len(infiles))
+ onehotXrefs = make([][]onehotXref, len(infiles))
+ }
throttleMem := throttle{Max: cmd.threads} // TODO: estimate using mem and data size
throttleNumpyMem := throttle{Max: cmd.threads/2 + 1}
infileIdx, infile := infileIdx, infile
throttleMem.Go(func() error {
seq := make(map[tagID][]TileVariant, 50000)
- cgs := make(map[string]CompactGenome, len(cgnames))
+ cgs := make(map[string]CompactGenome, len(cmd.cgnames))
f, err := open(infile)
if err != nil {
return err
seq[tv.Tag] = variants
}
for _, cg := range ent.CompactGenomes {
- if matchGenome.MatchString(cg.Name) {
- cgs[cg.Name] = cg
+ if !matchGenome.MatchString(cg.Name) {
+ continue
}
+ // pad to full slice size
+ // to avoid out-of-bounds
+ // checks later
+ if sliceSize := 2 * int(cg.EndTag-cg.StartTag); len(cg.Variants) < sliceSize {
+ cg.Variants = append(cg.Variants, make([]tileVariantID, sliceSize-len(cg.Variants))...)
+ }
+ cgs[cg.Name] = cg
}
return nil
})
if err != nil {
return err
}
- tagstart := cgs[cgnames[0]].StartTag
- tagend := cgs[cgnames[0]].EndTag
+ tagstart := cgs[cmd.cgnames[0]].StartTag
+ tagend := cgs[cmd.cgnames[0]].EndTag
// TODO: filters
for _, cg := range cgs {
idx := int(tag-tagstart) * 2
- if idx < len(cg.Variants) {
- for allele := 0; allele < 2; allele++ {
- v := cg.Variants[idx+allele]
- if v > 0 && len(variants[v].Sequence) > 0 {
- count[variants[v].Blake2b]++
- }
+ for allele := 0; allele < 2; allele++ {
+ v := cg.Variants[idx+allele]
+ if v > 0 && len(variants[v].Sequence) > 0 {
+ count[variants[v].Blake2b]++
}
}
}
}
throttleCPU.Wait()
+ var onehotChunk [][]int8
+ var onehotXref []onehotXref
+
annotationsFilename := fmt.Sprintf("%s/matrix.%04d.annotations.csv", *outputDir, infileIdx)
log.Infof("%04d: writing %s", infileIdx, annotationsFilename)
annof, err := os.Create(annotationsFilename)
// mention it in annotations?)
continue
}
- fmt.Fprintf(annow, "%d,%d,%d,=,%s,%d,,,\n", tag, outcol, rt.variant, rt.seqname, rt.pos)
- variants := seq[tag]
- reftilestr := strings.ToUpper(string(rt.tiledata))
remap := variantRemap[tag-tagstart]
maxv := tileVariantID(0)
for _, v := range remap {
maxv = v
}
}
+ if *onehotChunked || *onehotSingle {
+ onehot, xrefs := cmd.tv2homhet(cgs, maxv, remap, tag, tagstart)
+ onehotChunk = append(onehotChunk, onehot...)
+ onehotXref = append(onehotXref, xrefs...)
+ }
+ fmt.Fprintf(annow, "%d,%d,%d,=,%s,%d,,,\n", tag, outcol, rt.variant, rt.seqname, rt.pos)
+ variants := seq[tag]
+ reftilestr := strings.ToUpper(string(rt.tiledata))
+
done := make([]bool, maxv+1)
variantDiffs := make([][]hgvs.Variant, maxv+1)
for v, tv := range variants {
continue
}
diffs, _ := hgvs.Diff(reftilestr, strings.ToUpper(string(tv.Sequence)), 0)
+ for i := range diffs {
+ diffs[i].Position += rt.pos
+ }
for _, diff := range diffs {
- diff.Position += rt.pos
fmt.Fprintf(annow, "%d,%d,%d,%s:g.%s,%s,%d,%s,%s,%s\n", tag, outcol, v, rt.seqname, diff.String(), rt.seqname, diff.Position, diff.Ref, diff.New, diff.Left)
}
if *hgvsChunked {
// =ref or a different variant in that
// position, or (-1) is lacking
// coverage / couldn't be diffed.
- hgvsCol := map[hgvs.Variant][2][]int8{}
+ hgvsCol := hgvsColSet{}
for _, diffs := range variantDiffs {
for _, diff := range diffs {
if _, ok := hgvsCol[diff]; ok {
continue
}
hgvsCol[diff] = [2][]int8{
- make([]int8, len(cgnames)),
- make([]int8, len(cgnames)),
+ make([]int8, len(cmd.cgnames)),
+ make([]int8, len(cmd.cgnames)),
}
}
}
- for row, name := range cgnames {
+ for row, name := range cmd.cgnames {
variants := cgs[name].Variants[(tag-tagstart)*2:]
for ph := 0; ph < 2; ph++ {
v := variants[ph]
}
}
}
- encodeHGVSCols[rt.seqname].Encode(hgvsCol)
+ for diff, colpair := range hgvsCol {
+ allele2homhet(colpair)
+ if !cmd.filterHGVScolpair(colpair) {
+ delete(hgvsCol, diff)
+ }
+ }
+ if len(hgvsCol) > 0 {
+ encodeHGVSTodo[rt.seqname] <- hgvsCol
+ }
}
outcol++
}
return err
}
- log.Infof("%04d: preparing numpy", infileIdx)
- throttleNumpyMem.Acquire()
- rows := len(cgnames)
- cols := 2 * outcol
- out := make([]int16, rows*cols)
- for row, name := range cgnames {
- out := out[row*cols:]
- outcol := 0
- for col, v := range cgs[name].Variants {
- tag := tagstart + tagID(col/2)
- if mask != nil && reftile[tag] == nil {
- continue
- }
- if variants, ok := seq[tag]; ok && len(variants) > int(v) && len(variants[v].Sequence) > 0 {
- out[outcol] = int16(variantRemap[tag-tagstart][v])
- } else {
- out[outcol] = -1
- }
- outcol++
+ if *onehotChunked {
+ // transpose onehotChunk[col][row] to numpy[row*ncols+col]
+ rows := len(cmd.cgnames)
+ cols := len(onehotChunk)
+ log.Infof("%04d: preparing onehot numpy (rows=%d, cols=%d, mem=%d)", infileIdx, len(cmd.cgnames), len(onehotChunk), len(cmd.cgnames)*len(onehotChunk))
+ throttleNumpyMem.Acquire()
+ out := onehotcols2int8(onehotChunk)
+ fnm := fmt.Sprintf("%s/onehot.%04d.npy", *outputDir, infileIdx)
+ err = writeNumpyInt8(fnm, out, rows, cols)
+ if err != nil {
+ return err
}
- }
- seq = nil
- throttleNumpyMem.Release()
-
- if *mergeOutput || *hgvsSingle {
- log.Infof("%04d: matrix fragment %d rows x %d cols", infileIdx, rows, cols)
- toMerge[infileIdx] = out
- }
- if !*mergeOutput {
- fnm := fmt.Sprintf("%s/matrix.%04d.npy", *outputDir, infileIdx)
- err = writeNumpyInt16(fnm, out, rows, cols)
+ fnm = fmt.Sprintf("%s/onehot-columns.%04d.npy", *outputDir, infileIdx)
+ err = writeNumpyInt32(fnm, onehotXref2int32(onehotXref), 4, len(onehotXref))
if err != nil {
return err
}
+ debug.FreeOSMemory()
+ throttleNumpyMem.Release()
+ }
+ if *onehotSingle {
+ onehotIndirect[infileIdx] = onehotChunk2Indirect(onehotChunk)
+ onehotXrefs[infileIdx] = onehotXref
+ n := len(onehotIndirect[infileIdx][0])
+ log.Infof("%04d: keeping onehot coordinates in memory (n=%d, mem=%d)", infileIdx, n, n*8)
}
+ if !(*onehotSingle || *onehotChunked) || *mergeOutput || *hgvsSingle {
+ log.Infof("%04d: preparing numpy", infileIdx)
+ throttleNumpyMem.Acquire()
+ rows := len(cmd.cgnames)
+ cols := 2 * outcol
+ out := make([]int16, rows*cols)
+ for row, name := range cmd.cgnames {
+ out := out[row*cols:]
+ outcol := 0
+ for col, v := range cgs[name].Variants {
+ tag := tagstart + tagID(col/2)
+ if mask != nil && reftile[tag] == nil {
+ continue
+ }
+ if variants, ok := seq[tag]; ok && len(variants) > int(v) && len(variants[v].Sequence) > 0 {
+ out[outcol] = int16(variantRemap[tag-tagstart][v])
+ } else {
+ out[outcol] = -1
+ }
+ outcol++
+ }
+ }
+ seq = nil
+ cgs = nil
+ debug.FreeOSMemory()
+ throttleNumpyMem.Release()
+ if *mergeOutput || *hgvsSingle {
+ log.Infof("%04d: matrix fragment %d rows x %d cols", infileIdx, rows, cols)
+ toMerge[infileIdx] = out
+ }
+ if !*mergeOutput && !*onehotChunked && !*onehotSingle {
+ fnm := fmt.Sprintf("%s/matrix.%04d.npy", *outputDir, infileIdx)
+ err = writeNumpyInt16(fnm, out, rows, cols)
+ if err != nil {
+ return err
+ }
+ }
+ }
+ debug.FreeOSMemory()
log.Infof("%s: done (%d/%d)", infile, int(atomic.AddInt64(&done, 1)), len(infiles))
return nil
})
if *hgvsChunked {
log.Info("flushing hgvsCols temp files")
for seqname := range refseq {
- err = bufHGVSCols[seqname].Flush()
- if err != nil {
- return 1
- }
- bufHGVSCols[seqname] = nil // free buffer memory
+ close(encodeHGVSTodo[seqname])
+ }
+ err = encodeHGVS.Wait()
+ if err != nil {
+ return 1
}
for seqname := range refseq {
log.Infof("%s: reading hgvsCols from temp file", seqname)
if err != nil {
return 1
}
- var hgvsCols map[hgvs.Variant][2][]int8
+ var hgvsCols hgvsColSet
dec := gob.NewDecoder(bufio.NewReaderSize(f, 1<<24))
for err == nil {
err = dec.Decode(&hgvsCols)
return vi.New < vj.New
}
})
- rows := len(cgnames)
+ rows := len(cmd.cgnames)
cols := len(variants) * 2
log.Infof("%s: building hgvs matrix (rows=%d, cols=%d, mem=%d)", seqname, rows, cols, rows*cols)
out := make([]int8, rows*cols)
for varIdx, variant := range variants {
hgvsCols := hgvsCols[variant]
- for row := range cgnames {
+ for row := range cmd.cgnames {
for ph := 0; ph < 2; ph++ {
out[row*cols+varIdx+ph] = hgvsCols[ph][row]
}
annow = bufio.NewWriterSize(annof, 1<<20)
}
- rows := len(cgnames)
+ rows := len(cmd.cgnames)
cols := 0
for _, chunk := range toMerge {
cols += len(chunk) / rows
// change to 1 ("hgvs variant
// present") below, either on
// this line or a future line.
- hgvsColPair = [2][]int16{make([]int16, len(cgnames)), make([]int16, len(cgnames))}
+ hgvsColPair = [2][]int16{make([]int16, len(cmd.cgnames)), make([]int16, len(cmd.cgnames))}
rt, ok := reftile[tagID(tag)]
if !ok {
err = fmt.Errorf("bug: seeing annotations for tag %d, but it has no reftile entry", tag)
}
}
}
+ if *onehotSingle {
+ nzCount := 0
+ for _, part := range onehotIndirect {
+ nzCount += len(part[0])
+ }
+ onehot := make([]uint32, nzCount*2) // [r,r,r,...,c,c,c,...]
+ var xrefs []onehotXref
+ outcol := 0
+ for i, part := range onehotIndirect {
+ for i := range part[1] {
+ part[1][i] += uint32(outcol)
+ }
+ copy(onehot[outcol:], part[0])
+ copy(onehot[outcol+nzCount:], part[1])
+ outcol += len(part[0])
+ xrefs = append(xrefs, onehotXrefs[i]...)
+
+ part[0] = nil
+ part[1] = nil
+ onehotXrefs[i] = nil
+ debug.FreeOSMemory()
+ }
+ fnm := fmt.Sprintf("%s/onehot.npy", *outputDir)
+ err = writeNumpyUint32(fnm, onehot, 2, nzCount)
+ if err != nil {
+ return 1
+ }
+ fnm = fmt.Sprintf("%s/onehot-columns.npy", *outputDir)
+ err = writeNumpyInt32(fnm, onehotXref2int32(xrefs), 4, len(xrefs))
+ if err != nil {
+ return 1
+ }
+ }
return 0
}
+// Read case/control files, remove non-case/control entries from
+// cmd.cgnames, and build cmd.chi2Cases.
+func (cmd *sliceNumpy) useCaseControlFiles() error {
+ if cmd.chi2CaseControlFile == "" {
+ return nil
+ }
+ infiles, err := allFiles(cmd.chi2CaseControlFile, nil)
+ if err != nil {
+ return err
+ }
+ // index in cmd.cgnames => case(true) / control(false)
+ cc := map[int]bool{}
+ for _, infile := range infiles {
+ f, err := open(infile)
+ if err != nil {
+ return err
+ }
+ buf, err := io.ReadAll(f)
+ f.Close()
+ if err != nil {
+ return err
+ }
+ ccCol := -1
+ for _, tsv := range bytes.Split(buf, []byte{'\n'}) {
+ if len(tsv) == 0 {
+ continue
+ }
+ split := strings.Split(string(tsv), "\t")
+ if ccCol < 0 {
+ // header row
+ for col, name := range split {
+ if name == cmd.chi2CaseControlColumn {
+ ccCol = col
+ break
+ }
+ }
+ if ccCol < 0 {
+ return fmt.Errorf("%s: no column named %q in header row %q", infile, cmd.chi2CaseControlColumn, tsv)
+ }
+ continue
+ }
+ if len(split) <= ccCol {
+ continue
+ }
+ pattern := split[0]
+ found := -1
+ for i, name := range cmd.cgnames {
+ if strings.Contains(name, pattern) {
+ if found >= 0 {
+ log.Warnf("pattern %q in %s matches multiple genome IDs (%qs, %q)", pattern, infile, cmd.cgnames[found], name)
+ }
+ found = i
+ }
+ }
+ if found < 0 {
+ log.Warnf("pattern %q in %s does not match any genome IDs", pattern, infile)
+ continue
+ }
+ if split[ccCol] == "0" {
+ cc[found] = false
+ }
+ if split[ccCol] == "1" {
+ cc[found] = true
+ }
+ }
+ }
+ allnames := cmd.cgnames
+ cmd.cgnames = nil
+ cmd.chi2Cases = nil
+ ncases := 0
+ for i, name := range allnames {
+ if cc, ok := cc[i]; ok {
+ cmd.cgnames = append(cmd.cgnames, name)
+ cmd.chi2Cases = append(cmd.chi2Cases, cc)
+ if cc {
+ ncases++
+ }
+ }
+ }
+ log.Printf("%d cases, %d controls, %d neither (dropped)", ncases, len(cmd.cgnames)-ncases, len(allnames)-len(cmd.cgnames))
+ return nil
+}
+
+func (cmd *sliceNumpy) filterHGVScolpair(colpair [2][]int8) bool {
+ if cmd.chi2PValue >= 1 {
+ return true
+ }
+ col0 := make([]bool, 0, len(cmd.chi2Cases))
+ col1 := make([]bool, 0, len(cmd.chi2Cases))
+ cases := make([]bool, 0, len(cmd.chi2Cases))
+ for i, c := range cmd.chi2Cases {
+ if colpair[0][i] < 0 {
+ continue
+ }
+ col0 = append(col0, colpair[0][i] != 0)
+ col1 = append(col1, colpair[1][i] != 0)
+ cases = append(cases, c)
+ }
+ return len(cases) >= cmd.minCoverage &&
+ (pvalue(col0, cases) <= cmd.chi2PValue || pvalue(col1, cases) <= cmd.chi2PValue)
+}
+
+func writeNumpyUint32(fnm string, out []uint32, rows, cols int) error {
+ output, err := os.Create(fnm)
+ if err != nil {
+ return err
+ }
+ defer output.Close()
+ bufw := bufio.NewWriterSize(output, 1<<26)
+ npw, err := gonpy.NewWriter(nopCloser{bufw})
+ if err != nil {
+ return err
+ }
+ log.WithFields(log.Fields{
+ "filename": fnm,
+ "rows": rows,
+ "cols": cols,
+ "bytes": rows * cols * 4,
+ }).Infof("writing numpy: %s", fnm)
+ npw.Shape = []int{rows, cols}
+ npw.WriteUint32(out)
+ err = bufw.Flush()
+ if err != nil {
+ return err
+ }
+ return output.Close()
+}
+
+func writeNumpyInt32(fnm string, out []int32, rows, cols int) error {
+ output, err := os.Create(fnm)
+ if err != nil {
+ return err
+ }
+ defer output.Close()
+ bufw := bufio.NewWriterSize(output, 1<<26)
+ npw, err := gonpy.NewWriter(nopCloser{bufw})
+ if err != nil {
+ return err
+ }
+ log.WithFields(log.Fields{
+ "filename": fnm,
+ "rows": rows,
+ "cols": cols,
+ "bytes": rows * cols * 4,
+ }).Infof("writing numpy: %s", fnm)
+ npw.Shape = []int{rows, cols}
+ npw.WriteInt32(out)
+ err = bufw.Flush()
+ if err != nil {
+ return err
+ }
+ return output.Close()
+}
+
func writeNumpyInt16(fnm string, out []int16, rows, cols int) error {
output, err := os.Create(fnm)
if err != nil {
"filename": fnm,
"rows": rows,
"cols": cols,
+ "bytes": rows * cols * 2,
}).Infof("writing numpy: %s", fnm)
npw.Shape = []int{rows, cols}
npw.WriteInt16(out)
"filename": fnm,
"rows": rows,
"cols": cols,
+ "bytes": rows * cols,
}).Infof("writing numpy: %s", fnm)
npw.Shape = []int{rows, cols}
npw.WriteInt8(out)
}
return output.Close()
}
+
+func allele2homhet(colpair [2][]int8) {
+ a, b := colpair[0], colpair[1]
+ for i, av := range a {
+ bv := b[i]
+ if av < 0 || bv < 0 {
+ // no-call
+ a[i], b[i] = -1, -1
+ } else if av > 0 && bv > 0 {
+ // hom
+ a[i], b[i] = 1, 0
+ } else if av > 0 || bv > 0 {
+ // het
+ a[i], b[i] = 0, 1
+ } else {
+ // ref (or a different variant in same position)
+ // (this is a no-op) a[i], b[i] = 0, 0
+ }
+ }
+}
+
+type onehotXref struct {
+ tag tagID
+ variant tileVariantID
+ het bool
+ pvalue float64
+}
+
+const onehotXrefSize = unsafe.Sizeof(onehotXref{})
+
+// Build onehot matrix (m[variant*2+isHet][genome] == 0 or 1) for all
+// variants of a single tile/tag#.
+//
+// Return nil if no tile variant passes Χ² filter.
+func (cmd *sliceNumpy) tv2homhet(cgs map[string]CompactGenome, maxv tileVariantID, remap []tileVariantID, tag, chunkstarttag tagID) ([][]int8, []onehotXref) {
+ if maxv < 2 {
+ // everyone has the most common variant
+ return nil, nil
+ }
+ tagoffset := tag - chunkstarttag
+ coverage := 0
+ for _, cg := range cgs {
+ if cg.Variants[tagoffset*2] > 0 && cg.Variants[tagoffset*2+1] > 0 {
+ coverage++
+ }
+ }
+ if coverage < cmd.minCoverage {
+ return nil, nil
+ }
+ obs := make([][]bool, (maxv+1)*2) // 2 slices (hom + het) for each variant#
+ for i := range obs {
+ obs[i] = make([]bool, len(cmd.cgnames))
+ }
+ for cgid, name := range cmd.cgnames {
+ cgvars := cgs[name].Variants
+ for v := tileVariantID(2); v <= maxv; v++ {
+ if remap[cgvars[tagoffset*2]] == v && remap[cgvars[tagoffset*2+1]] == v {
+ obs[v*2][cgid] = true
+ } else if remap[cgvars[tagoffset*2]] == v || remap[cgvars[tagoffset*2+1]] == v {
+ obs[v*2+1][cgid] = true
+ }
+ }
+ }
+ var onehot [][]int8
+ var xref []onehotXref
+ for homcol := 4; homcol < len(obs); homcol += 2 {
+ p := [2]float64{
+ pvalue(obs[homcol], cmd.chi2Cases),
+ pvalue(obs[homcol+1], cmd.chi2Cases),
+ }
+ if cmd.chi2PValue < 1 && !(p[0] < cmd.chi2PValue || p[1] < cmd.chi2PValue) {
+ continue
+ }
+ for het := 0; het < 2; het++ {
+ onehot = append(onehot, bool2int8(obs[homcol+het]))
+ xref = append(xref, onehotXref{
+ tag: tag,
+ variant: tileVariantID(homcol / 2),
+ het: het == 1,
+ pvalue: p[het],
+ })
+ }
+ }
+ return onehot, xref
+}
+
+func bool2int8(in []bool) []int8 {
+ out := make([]int8, len(in))
+ for i, v := range in {
+ if v {
+ out[i] = 1
+ }
+ }
+ return out
+}
+
+// convert a []onehotXref with length N to a numpy-style []int32
+// matrix with N columns, one row per field of onehotXref struct.
+//
+// Hom/het row contains hom=0, het=1.
+//
+// P-value row contains 1000000x actual p-value.
+func onehotXref2int32(xrefs []onehotXref) []int32 {
+ xcols := len(xrefs)
+ xdata := make([]int32, 4*xcols)
+ for i, xref := range xrefs {
+ xdata[i] = int32(xref.tag)
+ xdata[xcols+i] = int32(xref.variant)
+ if xref.het {
+ xdata[xcols*2+i] = 1
+ }
+ xdata[xcols*3+i] = int32(xref.pvalue * 1000000)
+ }
+ return xdata
+}
+
+// transpose onehot data from in[col][row] to numpy-style
+// out[row*cols+col].
+func onehotcols2int8(in [][]int8) []int8 {
+ if len(in) == 0 {
+ return nil
+ }
+ cols := len(in)
+ rows := len(in[0])
+ out := make([]int8, rows*cols)
+ for row := 0; row < rows; row++ {
+ outrow := out[row*cols:]
+ for col, incol := range in {
+ outrow[col] = incol[row]
+ }
+ }
+ return out
+}
+
+// Return [2][]uint32{rowIndices, colIndices} indicating which
+// elements of matrixT[c][r] have non-zero values.
+func onehotChunk2Indirect(matrixT [][]int8) [2][]uint32 {
+ var nz [2][]uint32
+ for c, col := range matrixT {
+ for r, val := range col {
+ if val != 0 {
+ nz[0] = append(nz[0], uint32(r))
+ nz[1] = append(nz[1], uint32(c))
+ }
+ }
+ }
+ return nz
+}