19527: Load training-set flag from samples.csv.
[lightning.git] / slicenumpy.go
1 // Copyright (C) The Lightning Authors. All rights reserved.
2 //
3 // SPDX-License-Identifier: AGPL-3.0
4
5 package lightning
6
7 import (
8         "bufio"
9         "bytes"
10         "encoding/gob"
11         "errors"
12         "flag"
13         "fmt"
14         "io"
15         "io/ioutil"
16         "math"
17         "net/http"
18         _ "net/http/pprof"
19         "os"
20         "regexp"
21         "runtime"
22         "runtime/debug"
23         "sort"
24         "strconv"
25         "strings"
26         "sync/atomic"
27         "unsafe"
28
29         "git.arvados.org/arvados.git/sdk/go/arvados"
30         "github.com/arvados/lightning/hgvs"
31         "github.com/james-bowman/nlp"
32         "github.com/kshedden/gonpy"
33         "github.com/sirupsen/logrus"
34         log "github.com/sirupsen/logrus"
35         "golang.org/x/crypto/blake2b"
36         "gonum.org/v1/gonum/mat"
37 )
38
39 const annotationMaxTileSpan = 100
40
41 type sliceNumpy struct {
42         filter          filter
43         threads         int
44         chi2Cases       []bool
45         chi2PValue      float64
46         minCoverage     int
47         includeVariant1 bool
48         debugTag        tagID
49
50         cgnames         []string
51         samples         []sampleInfo
52         trainingSet     []int // samples index => training set index, or -1 if not in training set
53         trainingSetSize int
54 }
55
56 func (cmd *sliceNumpy) RunCommand(prog string, args []string, stdin io.Reader, stdout, stderr io.Writer) int {
57         err := cmd.run(prog, args, stdin, stdout, stderr)
58         if err != nil {
59                 fmt.Fprintf(stderr, "%s\n", err)
60                 return 1
61         }
62         return 0
63 }
64
65 func (cmd *sliceNumpy) run(prog string, args []string, stdin io.Reader, stdout, stderr io.Writer) error {
66         flags := flag.NewFlagSet("", flag.ContinueOnError)
67         flags.SetOutput(stderr)
68         pprof := flags.String("pprof", "", "serve Go profile data at http://`[addr]:port`")
69         runlocal := flags.Bool("local", false, "run on local host (default: run in an arvados container)")
70         arvadosRAM := flags.Int("arvados-ram", 750000000000, "amount of memory to request for arvados container (`bytes`)")
71         arvadosVCPUs := flags.Int("arvados-vcpus", 96, "number of VCPUs to request for arvados container")
72         projectUUID := flags.String("project", "", "project `UUID` for output data")
73         priority := flags.Int("priority", 500, "container request priority")
74         inputDir := flags.String("input-dir", "./in", "input `directory`")
75         outputDir := flags.String("output-dir", "./out", "output `directory`")
76         ref := flags.String("ref", "", "reference name (if blank, choose last one that appears in input)")
77         regionsFilename := flags.String("regions", "", "only output columns/annotations that intersect regions in specified bed `file`")
78         expandRegions := flags.Int("expand-regions", 0, "expand specified regions by `N` base pairs on each side`")
79         mergeOutput := flags.Bool("merge-output", false, "merge output into one matrix.npy and one matrix.annotations.csv")
80         hgvsSingle := flags.Bool("single-hgvs-matrix", false, "also generate hgvs-based matrix")
81         hgvsChunked := flags.Bool("chunked-hgvs-matrix", false, "also generate hgvs-based matrix per chromosome")
82         onehotSingle := flags.Bool("single-onehot", false, "generate one-hot tile-based matrix")
83         onehotChunked := flags.Bool("chunked-onehot", false, "generate one-hot tile-based matrix per input chunk")
84         samplesFilename := flags.String("samples", "", "`samples.csv` file with training/validation and case/control groups (see 'lightning choose-samples')")
85         onlyPCA := flags.Bool("pca", false, "generate pca matrix")
86         pcaComponents := flags.Int("pca-components", 4, "number of PCA components")
87         maxPCATiles := flags.Int("max-pca-tiles", 0, "maximum tiles to use as PCA input (filter, then drop every 2nd colum pair until below max)")
88         debugTag := flags.Int("debug-tag", -1, "log debugging details about specified tag")
89         flags.IntVar(&cmd.threads, "threads", 16, "number of memory-hungry assembly threads, and number of VCPUs to request for arvados container")
90         flags.Float64Var(&cmd.chi2PValue, "chi2-p-value", 1, "do Χ² test and omit columns with p-value above this threshold")
91         flags.BoolVar(&cmd.includeVariant1, "include-variant-1", false, "include most common variant when building one-hot matrix")
92         cmd.filter.Flags(flags)
93         err := flags.Parse(args)
94         if err == flag.ErrHelp {
95                 return nil
96         } else if err != nil {
97                 return err
98         }
99
100         if *pprof != "" {
101                 go func() {
102                         log.Println(http.ListenAndServe(*pprof, nil))
103                 }()
104         }
105
106         if cmd.chi2PValue != 1 && *samplesFilename == "" {
107                 return fmt.Errorf("cannot use provided -chi2-p-value=%f because -samples= value is empty", cmd.chi2PValue)
108         }
109
110         cmd.debugTag = tagID(*debugTag)
111
112         if !*runlocal {
113                 runner := arvadosContainerRunner{
114                         Name:        "lightning slice-numpy",
115                         Client:      arvados.NewClientFromEnv(),
116                         ProjectUUID: *projectUUID,
117                         RAM:         int64(*arvadosRAM),
118                         VCPUs:       *arvadosVCPUs,
119                         Priority:    *priority,
120                         KeepCache:   2,
121                         APIAccess:   true,
122                 }
123                 err = runner.TranslatePaths(inputDir, regionsFilename, samplesFilename)
124                 if err != nil {
125                         return err
126                 }
127                 runner.Args = []string{"slice-numpy", "-local=true",
128                         "-pprof=:6060",
129                         "-input-dir=" + *inputDir,
130                         "-output-dir=/mnt/output",
131                         "-threads=" + fmt.Sprintf("%d", cmd.threads),
132                         "-regions=" + *regionsFilename,
133                         "-expand-regions=" + fmt.Sprintf("%d", *expandRegions),
134                         "-merge-output=" + fmt.Sprintf("%v", *mergeOutput),
135                         "-single-hgvs-matrix=" + fmt.Sprintf("%v", *hgvsSingle),
136                         "-chunked-hgvs-matrix=" + fmt.Sprintf("%v", *hgvsChunked),
137                         "-single-onehot=" + fmt.Sprintf("%v", *onehotSingle),
138                         "-chunked-onehot=" + fmt.Sprintf("%v", *onehotChunked),
139                         "-samples=" + *samplesFilename,
140                         "-pca=" + fmt.Sprintf("%v", *onlyPCA),
141                         "-pca-components=" + fmt.Sprintf("%d", *pcaComponents),
142                         "-max-pca-tiles=" + fmt.Sprintf("%d", *maxPCATiles),
143                         "-chi2-p-value=" + fmt.Sprintf("%f", cmd.chi2PValue),
144                         "-include-variant-1=" + fmt.Sprintf("%v", cmd.includeVariant1),
145                         "-debug-tag=" + fmt.Sprintf("%d", cmd.debugTag),
146                 }
147                 runner.Args = append(runner.Args, cmd.filter.Args()...)
148                 var output string
149                 output, err = runner.Run()
150                 if err != nil {
151                         return err
152                 }
153                 fmt.Fprintln(stdout, output)
154                 return nil
155         }
156
157         infiles, err := allFiles(*inputDir, matchGobFile)
158         if err != nil {
159                 return err
160         }
161         if len(infiles) == 0 {
162                 err = fmt.Errorf("no input files found in %s", *inputDir)
163                 return err
164         }
165         sort.Strings(infiles)
166
167         var refseq map[string][]tileLibRef
168         var reftiledata = make(map[tileLibRef][]byte, 11000000)
169         in0, err := open(infiles[0])
170         if err != nil {
171                 return err
172         }
173
174         matchGenome, err := regexp.Compile(cmd.filter.MatchGenome)
175         if err != nil {
176                 err = fmt.Errorf("-match-genome: invalid regexp: %q", cmd.filter.MatchGenome)
177                 return err
178         }
179
180         if *samplesFilename != "" {
181                 cmd.samples, err = cmd.loadSampleInfo(*samplesFilename)
182                 if err != nil {
183                         return err
184                 }
185         }
186
187         cmd.cgnames = nil
188         var tagset [][]byte
189         err = DecodeLibrary(in0, strings.HasSuffix(infiles[0], ".gz"), func(ent *LibraryEntry) error {
190                 if len(ent.TagSet) > 0 {
191                         tagset = ent.TagSet
192                 }
193                 for _, cseq := range ent.CompactSequences {
194                         if cseq.Name == *ref || *ref == "" {
195                                 refseq = cseq.TileSequences
196                         }
197                 }
198                 for _, cg := range ent.CompactGenomes {
199                         if matchGenome.MatchString(cg.Name) {
200                                 cmd.cgnames = append(cmd.cgnames, cg.Name)
201                         }
202                 }
203                 for _, tv := range ent.TileVariants {
204                         if tv.Ref {
205                                 reftiledata[tileLibRef{tv.Tag, tv.Variant}] = tv.Sequence
206                         }
207                 }
208                 return nil
209         })
210         if err != nil {
211                 return err
212         }
213         in0.Close()
214         if refseq == nil {
215                 err = fmt.Errorf("%s: reference sequence not found", infiles[0])
216                 return err
217         }
218         if len(tagset) == 0 {
219                 err = fmt.Errorf("tagset not found")
220                 return err
221         }
222
223         taglib := &tagLibrary{}
224         err = taglib.setTags(tagset)
225         if err != nil {
226                 return err
227         }
228         taglen := taglib.TagLen()
229         sort.Strings(cmd.cgnames)
230
231         if len(cmd.cgnames) == 0 {
232                 return fmt.Errorf("fatal: 0 matching samples in library, nothing to do")
233         }
234         cmd.trainingSet = make([]int, len(cmd.cgnames))
235         if *samplesFilename == "" {
236                 cmd.trainingSetSize = len(cmd.cgnames)
237                 for i, name := range cmd.cgnames {
238                         cmd.samples = append(cmd.samples, sampleInfo{
239                                 id:         trimFilenameForLabel(name),
240                                 isTraining: true,
241                         })
242                         cmd.trainingSet[i] = i
243                 }
244         } else if len(cmd.cgnames) != len(cmd.samples) {
245                 return fmt.Errorf("mismatched sample list: %d samples in library, %d in %s", len(cmd.cgnames), len(cmd.samples), *samplesFilename)
246         } else {
247                 cmd.trainingSetSize = 0
248                 for i, name := range cmd.cgnames {
249                         if s := trimFilenameForLabel(name); s != cmd.samples[i].id {
250                                 return fmt.Errorf("mismatched sample list: sample %d is %q in library, %q in %s", i, s, cmd.samples[i].id, *samplesFilename)
251                         }
252                         if cmd.samples[i].isTraining {
253                                 cmd.trainingSet[i] = cmd.trainingSetSize
254                                 cmd.trainingSetSize++
255                         } else {
256                                 cmd.trainingSet[i] = -1
257                         }
258                 }
259         }
260         if cmd.filter.MinCoverage == 1 {
261                 // In the generic formula below, floating point
262                 // arithmetic can effectively push the coverage
263                 // threshold above 1.0, which is impossible/useless.
264                 // 1.0 needs to mean exactly 100% coverage.
265                 cmd.minCoverage = len(cmd.cgnames)
266         } else {
267                 cmd.minCoverage = int(math.Ceil(cmd.filter.MinCoverage * float64(len(cmd.cgnames))))
268         }
269
270         log.Info("indexing reference tiles")
271         type reftileinfo struct {
272                 variant  tileVariantID
273                 seqname  string // chr1
274                 pos      int    // distance from start of chromosome to starttag
275                 tiledata []byte // acgtggcaa...
276                 excluded bool   // true if excluded by regions file
277                 nexttag  tagID  // tagID of following tile (-1 for last tag of chromosome)
278         }
279         isdup := map[tagID]bool{}
280         reftile := map[tagID]*reftileinfo{}
281         for seqname, cseq := range refseq {
282                 pos := 0
283                 lastreftag := tagID(-1)
284                 for _, libref := range cseq {
285                         if cmd.filter.MaxTag >= 0 && libref.Tag > tagID(cmd.filter.MaxTag) {
286                                 continue
287                         }
288                         tiledata := reftiledata[libref]
289                         if len(tiledata) == 0 {
290                                 err = fmt.Errorf("missing tiledata for tag %d variant %d in %s in ref", libref.Tag, libref.Variant, seqname)
291                                 return err
292                         }
293                         foundthistag := false
294                         taglib.FindAll(tiledata[:len(tiledata)-1], func(tagid tagID, offset, _ int) {
295                                 if !foundthistag && tagid == libref.Tag {
296                                         foundthistag = true
297                                         return
298                                 }
299                                 if dupref, ok := reftile[tagid]; ok {
300                                         log.Printf("dropping reference tile %+v from %s @ %d, tag not unique, also found inside %+v from %s @ %d", tileLibRef{Tag: tagid, Variant: dupref.variant}, dupref.seqname, dupref.pos, libref, seqname, pos+offset+1)
301                                         delete(reftile, tagid)
302                                 } else {
303                                         log.Printf("found tag %d at offset %d inside tile variant %+v on %s @ %d", tagid, offset, libref, seqname, pos+offset+1)
304                                 }
305                                 isdup[tagid] = true
306                         })
307                         if isdup[libref.Tag] {
308                                 log.Printf("dropping reference tile %+v from %s @ %d, tag not unique", libref, seqname, pos)
309                         } else if reftile[libref.Tag] != nil {
310                                 log.Printf("dropping reference tile %+v from %s @ %d, tag not unique", tileLibRef{Tag: libref.Tag, Variant: reftile[libref.Tag].variant}, reftile[libref.Tag].seqname, reftile[libref.Tag].pos)
311                                 delete(reftile, libref.Tag)
312                                 log.Printf("dropping reference tile %+v from %s @ %d, tag not unique", libref, seqname, pos)
313                                 isdup[libref.Tag] = true
314                         } else {
315                                 reftile[libref.Tag] = &reftileinfo{
316                                         seqname:  seqname,
317                                         variant:  libref.Variant,
318                                         tiledata: tiledata,
319                                         pos:      pos,
320                                         nexttag:  -1,
321                                 }
322                                 if lastreftag >= 0 {
323                                         reftile[lastreftag].nexttag = libref.Tag
324                                 }
325                                 lastreftag = libref.Tag
326                         }
327                         pos += len(tiledata) - taglen
328                 }
329                 log.Printf("... %s done, len %d", seqname, pos+taglen)
330         }
331
332         var mask *mask
333         if *regionsFilename != "" {
334                 log.Printf("loading regions from %s", *regionsFilename)
335                 mask, err = makeMask(*regionsFilename, *expandRegions)
336                 if err != nil {
337                         return err
338                 }
339                 log.Printf("before applying mask, len(reftile) == %d", len(reftile))
340                 log.Printf("deleting reftile entries for regions outside %d intervals", mask.Len())
341                 for _, rt := range reftile {
342                         if !mask.Check(strings.TrimPrefix(rt.seqname, "chr"), rt.pos, rt.pos+len(rt.tiledata)) {
343                                 rt.excluded = true
344                         }
345                 }
346                 log.Printf("after applying mask, len(reftile) == %d", len(reftile))
347         }
348
349         type hgvsColSet map[hgvs.Variant][2][]int8
350         encodeHGVS := throttle{Max: len(refseq)}
351         encodeHGVSTodo := map[string]chan hgvsColSet{}
352         tmpHGVSCols := map[string]*os.File{}
353         if *hgvsChunked {
354                 for seqname := range refseq {
355                         var f *os.File
356                         f, err = os.Create(*outputDir + "/tmp." + seqname + ".gob")
357                         if err != nil {
358                                 return err
359                         }
360                         defer os.Remove(f.Name())
361                         bufw := bufio.NewWriterSize(f, 1<<24)
362                         enc := gob.NewEncoder(bufw)
363                         tmpHGVSCols[seqname] = f
364                         todo := make(chan hgvsColSet, 128)
365                         encodeHGVSTodo[seqname] = todo
366                         encodeHGVS.Go(func() error {
367                                 for colset := range todo {
368                                         err := enc.Encode(colset)
369                                         if err != nil {
370                                                 encodeHGVS.Report(err)
371                                                 for range todo {
372                                                 }
373                                                 return err
374                                         }
375                                 }
376                                 return bufw.Flush()
377                         })
378                 }
379         }
380
381         var toMerge [][]int16
382         if *mergeOutput || *hgvsSingle {
383                 toMerge = make([][]int16, len(infiles))
384         }
385         var onehotIndirect [][2][]uint32 // [chunkIndex][axis][index]
386         var onehotChunkSize []uint32
387         var onehotXrefs [][]onehotXref
388         if *onehotSingle || *onlyPCA {
389                 onehotIndirect = make([][2][]uint32, len(infiles))
390                 onehotChunkSize = make([]uint32, len(infiles))
391                 onehotXrefs = make([][]onehotXref, len(infiles))
392         }
393         chunkStartTag := make([]tagID, len(infiles))
394
395         throttleMem := throttle{Max: cmd.threads} // TODO: estimate using mem and data size
396         throttleNumpyMem := throttle{Max: cmd.threads/2 + 1}
397         log.Info("generating annotations and numpy matrix for each slice")
398         var errSkip = errors.New("skip infile")
399         var done int64
400         for infileIdx, infile := range infiles {
401                 infileIdx, infile := infileIdx, infile
402                 throttleMem.Go(func() error {
403                         seq := make(map[tagID][]TileVariant, 50000)
404                         cgs := make(map[string]CompactGenome, len(cmd.cgnames))
405                         f, err := open(infile)
406                         if err != nil {
407                                 return err
408                         }
409                         defer f.Close()
410                         log.Infof("%04d: reading %s", infileIdx, infile)
411                         err = DecodeLibrary(f, strings.HasSuffix(infile, ".gz"), func(ent *LibraryEntry) error {
412                                 for _, tv := range ent.TileVariants {
413                                         if tv.Ref {
414                                                 continue
415                                         }
416                                         // Skip tile with no
417                                         // corresponding ref tile, if
418                                         // mask is in play (we can't
419                                         // determine coordinates for
420                                         // these)
421                                         if mask != nil && reftile[tv.Tag] == nil {
422                                                 continue
423                                         }
424                                         // Skip tile whose
425                                         // corresponding ref tile is
426                                         // outside target regions --
427                                         // unless it's a potential
428                                         // spanning tile.
429                                         if mask != nil && reftile[tv.Tag].excluded &&
430                                                 (int(tv.Tag+1) >= len(tagset) ||
431                                                         (bytes.HasSuffix(tv.Sequence, tagset[tv.Tag+1]) && reftile[tv.Tag+1] != nil && !reftile[tv.Tag+1].excluded)) {
432                                                 continue
433                                         }
434                                         if tv.Tag == cmd.debugTag {
435                                                 log.Printf("infile %d %s tag %d variant %d hash %x", infileIdx, infile, tv.Tag, tv.Variant, tv.Blake2b[:3])
436                                         }
437                                         variants := seq[tv.Tag]
438                                         if len(variants) == 0 {
439                                                 variants = make([]TileVariant, 100)
440                                         }
441                                         for len(variants) <= int(tv.Variant) {
442                                                 variants = append(variants, TileVariant{})
443                                         }
444                                         variants[int(tv.Variant)] = tv
445                                         seq[tv.Tag] = variants
446                                 }
447                                 for _, cg := range ent.CompactGenomes {
448                                         if cmd.filter.MaxTag >= 0 && cg.StartTag > tagID(cmd.filter.MaxTag) {
449                                                 return errSkip
450                                         }
451                                         if !matchGenome.MatchString(cg.Name) {
452                                                 continue
453                                         }
454                                         // pad to full slice size
455                                         // to avoid out-of-bounds
456                                         // checks later
457                                         if sliceSize := 2 * int(cg.EndTag-cg.StartTag); len(cg.Variants) < sliceSize {
458                                                 cg.Variants = append(cg.Variants, make([]tileVariantID, sliceSize-len(cg.Variants))...)
459                                         }
460                                         cgs[cg.Name] = cg
461                                 }
462                                 return nil
463                         })
464                         if err == errSkip {
465                                 return nil
466                         } else if err != nil {
467                                 return fmt.Errorf("%04d: DecodeLibrary(%s): err", infileIdx, infile)
468                         }
469                         tagstart := cgs[cmd.cgnames[0]].StartTag
470                         tagend := cgs[cmd.cgnames[0]].EndTag
471                         chunkStartTag[infileIdx] = tagstart
472
473                         // TODO: filters
474
475                         log.Infof("%04d: renumber/dedup variants for tags %d-%d", infileIdx, tagstart, tagend)
476                         variantRemap := make([][]tileVariantID, tagend-tagstart)
477                         throttleCPU := throttle{Max: runtime.GOMAXPROCS(0)}
478                         for tag, variants := range seq {
479                                 tag, variants := tag, variants
480                                 throttleCPU.Go(func() error {
481                                         alleleCoverage := 0
482                                         count := make(map[[blake2b.Size256]byte]int, len(variants))
483
484                                         rt := reftile[tag]
485                                         if rt != nil {
486                                                 count[blake2b.Sum256(rt.tiledata)] = 0
487                                         }
488
489                                         for cgname, cg := range cgs {
490                                                 idx := int(tag-tagstart) * 2
491                                                 for allele := 0; allele < 2; allele++ {
492                                                         v := cg.Variants[idx+allele]
493                                                         if v > 0 && len(variants[v].Sequence) > 0 {
494                                                                 count[variants[v].Blake2b]++
495                                                                 alleleCoverage++
496                                                         }
497                                                         if v > 0 && tag == cmd.debugTag {
498                                                                 log.Printf("tag %d cg %s allele %d tv %d hash %x count is now %d", tag, cgname, allele, v, variants[v].Blake2b[:3], count[variants[v].Blake2b])
499                                                         }
500                                                 }
501                                         }
502                                         if alleleCoverage < cmd.minCoverage*2 {
503                                                 idx := int(tag-tagstart) * 2
504                                                 for _, cg := range cgs {
505                                                         cg.Variants[idx] = 0
506                                                         cg.Variants[idx+1] = 0
507                                                 }
508                                                 if tag == cmd.debugTag {
509                                                         log.Printf("tag %d alleleCoverage %d < min %d, sample data wiped", tag, alleleCoverage, cmd.minCoverage*2)
510                                                 }
511                                                 return nil
512                                         }
513
514                                         // hash[i] will be the hash of
515                                         // the variant(s) that should
516                                         // be at rank i (0-based).
517                                         hash := make([][blake2b.Size256]byte, 0, len(count))
518                                         for b := range count {
519                                                 hash = append(hash, b)
520                                         }
521                                         sort.Slice(hash, func(i, j int) bool {
522                                                 bi, bj := &hash[i], &hash[j]
523                                                 if ci, cj := count[*bi], count[*bj]; ci != cj {
524                                                         return ci > cj
525                                                 } else {
526                                                         return bytes.Compare((*bi)[:], (*bj)[:]) < 0
527                                                 }
528                                         })
529                                         // rank[b] will be the 1-based
530                                         // new variant number for
531                                         // variants whose hash is b.
532                                         rank := make(map[[blake2b.Size256]byte]tileVariantID, len(hash))
533                                         for i, h := range hash {
534                                                 rank[h] = tileVariantID(i + 1)
535                                         }
536                                         if tag == cmd.debugTag {
537                                                 for h, r := range rank {
538                                                         log.Printf("tag %d rank(%x) = %v", tag, h[:3], r)
539                                                 }
540                                         }
541                                         // remap[v] will be the new
542                                         // variant number for original
543                                         // variant number v.
544                                         remap := make([]tileVariantID, len(variants))
545                                         for i, tv := range variants {
546                                                 remap[i] = rank[tv.Blake2b]
547                                         }
548                                         if tag == cmd.debugTag {
549                                                 for in, out := range remap {
550                                                         if out > 0 {
551                                                                 log.Printf("tag %d remap %d => %d", tag, in, out)
552                                                         }
553                                                 }
554                                         }
555                                         variantRemap[tag-tagstart] = remap
556                                         if rt != nil {
557                                                 refrank := rank[blake2b.Sum256(rt.tiledata)]
558                                                 if tag == cmd.debugTag {
559                                                         log.Printf("tag %d reftile variant %d => %d", tag, rt.variant, refrank)
560                                                 }
561                                                 rt.variant = refrank
562                                         }
563                                         return nil
564                                 })
565                         }
566                         throttleCPU.Wait()
567
568                         var onehotChunk [][]int8
569                         var onehotXref []onehotXref
570
571                         var annotationsFilename string
572                         if *onlyPCA {
573                                 annotationsFilename = "/dev/null"
574                         } else {
575                                 annotationsFilename = fmt.Sprintf("%s/matrix.%04d.annotations.csv", *outputDir, infileIdx)
576                                 log.Infof("%04d: writing %s", infileIdx, annotationsFilename)
577                         }
578                         annof, err := os.Create(annotationsFilename)
579                         if err != nil {
580                                 return err
581                         }
582                         annow := bufio.NewWriterSize(annof, 1<<20)
583                         outcol := 0
584                         for tag := tagstart; tag < tagend; tag++ {
585                                 rt := reftile[tag]
586                                 if rt == nil && mask != nil {
587                                         // With no ref tile, we don't
588                                         // have coordinates to say
589                                         // this is in the desired
590                                         // regions -- so it's not.
591                                         // TODO: handle ref spanning
592                                         // tile case.
593                                         continue
594                                 }
595                                 if rt != nil && rt.excluded {
596                                         // TODO: don't skip yet --
597                                         // first check for spanning
598                                         // tile variants that
599                                         // intersect non-excluded ref
600                                         // tiles.
601                                         continue
602                                 }
603                                 if cmd.filter.MaxTag >= 0 && tag > tagID(cmd.filter.MaxTag) {
604                                         break
605                                 }
606                                 remap := variantRemap[tag-tagstart]
607                                 maxv := tileVariantID(0)
608                                 for _, v := range remap {
609                                         if maxv < v {
610                                                 maxv = v
611                                         }
612                                 }
613                                 if *onehotChunked || *onehotSingle || *onlyPCA {
614                                         onehot, xrefs := cmd.tv2homhet(cgs, maxv, remap, tag, tagstart, seq)
615                                         if tag == cmd.debugTag {
616                                                 log.WithFields(logrus.Fields{
617                                                         "onehot": onehot,
618                                                         "xrefs":  xrefs,
619                                                 }).Info("tv2homhet()")
620                                         }
621                                         onehotChunk = append(onehotChunk, onehot...)
622                                         onehotXref = append(onehotXref, xrefs...)
623                                 }
624                                 if *onlyPCA {
625                                         outcol++
626                                         continue
627                                 }
628                                 if rt == nil {
629                                         // Reference does not use any
630                                         // variant of this tile
631                                         //
632                                         // TODO: diff against the
633                                         // relevant portion of the
634                                         // ref's spanning tile
635                                         outcol++
636                                         continue
637                                 }
638                                 fmt.Fprintf(annow, "%d,%d,%d,=,%s,%d,,,\n", tag, outcol, rt.variant, rt.seqname, rt.pos)
639                                 variants := seq[tag]
640                                 reftilestr := strings.ToUpper(string(rt.tiledata))
641
642                                 done := make([]bool, maxv+1)
643                                 variantDiffs := make([][]hgvs.Variant, maxv+1)
644                                 for v, tv := range variants {
645                                         v := remap[v]
646                                         if v == 0 || v == rt.variant || done[v] {
647                                                 continue
648                                         } else {
649                                                 done[v] = true
650                                         }
651                                         if len(tv.Sequence) < taglen {
652                                                 continue
653                                         }
654                                         // if reftilestr doesn't end
655                                         // in the same tag as tv,
656                                         // extend reftilestr with
657                                         // following ref tiles until
658                                         // it does (up to an arbitrary
659                                         // sanity-check limit)
660                                         reftilestr := reftilestr
661                                         endtagstr := strings.ToUpper(string(tv.Sequence[len(tv.Sequence)-taglen:]))
662                                         for i, rt := 0, rt; i < annotationMaxTileSpan && !strings.HasSuffix(reftilestr, endtagstr) && rt.nexttag >= 0; i++ {
663                                                 rt = reftile[rt.nexttag]
664                                                 if rt == nil {
665                                                         break
666                                                 }
667                                                 reftilestr += strings.ToUpper(string(rt.tiledata[taglen:]))
668                                         }
669                                         if mask != nil && !mask.Check(strings.TrimPrefix(rt.seqname, "chr"), rt.pos, rt.pos+len(reftilestr)) {
670                                                 continue
671                                         }
672                                         if !strings.HasSuffix(reftilestr, endtagstr) {
673                                                 fmt.Fprintf(annow, "%d,%d,%d,,%s,%d,,,\n", tag, outcol, v, rt.seqname, rt.pos)
674                                                 continue
675                                         }
676                                         if lendiff := len(reftilestr) - len(tv.Sequence); lendiff < -1000 || lendiff > 1000 {
677                                                 fmt.Fprintf(annow, "%d,%d,%d,,%s,%d,,,\n", tag, outcol, v, rt.seqname, rt.pos)
678                                                 continue
679                                         }
680                                         diffs, _ := hgvs.Diff(reftilestr, strings.ToUpper(string(tv.Sequence)), 0)
681                                         for i := range diffs {
682                                                 diffs[i].Position += rt.pos
683                                         }
684                                         for _, diff := range diffs {
685                                                 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)
686                                         }
687                                         if *hgvsChunked {
688                                                 variantDiffs[v] = diffs
689                                         }
690                                 }
691                                 if *hgvsChunked {
692                                         // We can now determine, for each HGVS
693                                         // variant (diff) in this reftile
694                                         // region, whether a given genome
695                                         // phase/allele (1) has the variant, (0) has
696                                         // =ref or a different variant in that
697                                         // position, or (-1) is lacking
698                                         // coverage / couldn't be diffed.
699                                         hgvsCol := hgvsColSet{}
700                                         for _, diffs := range variantDiffs {
701                                                 for _, diff := range diffs {
702                                                         if _, ok := hgvsCol[diff]; ok {
703                                                                 continue
704                                                         }
705                                                         hgvsCol[diff] = [2][]int8{
706                                                                 make([]int8, len(cmd.cgnames)),
707                                                                 make([]int8, len(cmd.cgnames)),
708                                                         }
709                                                 }
710                                         }
711                                         for row, name := range cmd.cgnames {
712                                                 variants := cgs[name].Variants[(tag-tagstart)*2:]
713                                                 for ph := 0; ph < 2; ph++ {
714                                                         v := variants[ph]
715                                                         if int(v) >= len(remap) {
716                                                                 v = 0
717                                                         } else {
718                                                                 v = remap[v]
719                                                         }
720                                                         if v == rt.variant {
721                                                                 // hgvsCol[*][ph][row] is already 0
722                                                         } else if len(variantDiffs[v]) == 0 {
723                                                                 // lacking coverage / couldn't be diffed
724                                                                 for _, col := range hgvsCol {
725                                                                         col[ph][row] = -1
726                                                                 }
727                                                         } else {
728                                                                 for _, diff := range variantDiffs[v] {
729                                                                         hgvsCol[diff][ph][row] = 1
730                                                                 }
731                                                         }
732                                                 }
733                                         }
734                                         for diff, colpair := range hgvsCol {
735                                                 allele2homhet(colpair)
736                                                 if !cmd.filterHGVScolpair(colpair) {
737                                                         delete(hgvsCol, diff)
738                                                 }
739                                         }
740                                         if len(hgvsCol) > 0 {
741                                                 encodeHGVSTodo[rt.seqname] <- hgvsCol
742                                         }
743                                 }
744                                 outcol++
745                         }
746                         err = annow.Flush()
747                         if err != nil {
748                                 return err
749                         }
750                         err = annof.Close()
751                         if err != nil {
752                                 return err
753                         }
754
755                         if *onehotChunked {
756                                 // transpose onehotChunk[col][row] to numpy[row*ncols+col]
757                                 rows := len(cmd.cgnames)
758                                 cols := len(onehotChunk)
759                                 log.Infof("%04d: preparing onehot numpy (rows=%d, cols=%d, mem=%d)", infileIdx, rows, cols, rows*cols)
760                                 throttleNumpyMem.Acquire()
761                                 out := onehotcols2int8(onehotChunk)
762                                 fnm := fmt.Sprintf("%s/onehot.%04d.npy", *outputDir, infileIdx)
763                                 err = writeNumpyInt8(fnm, out, rows, cols)
764                                 if err != nil {
765                                         return err
766                                 }
767                                 fnm = fmt.Sprintf("%s/onehot-columns.%04d.npy", *outputDir, infileIdx)
768                                 err = writeNumpyInt32(fnm, onehotXref2int32(onehotXref), 4, len(onehotXref))
769                                 if err != nil {
770                                         return err
771                                 }
772                                 debug.FreeOSMemory()
773                                 throttleNumpyMem.Release()
774                         }
775                         if *onehotSingle || *onlyPCA {
776                                 onehotIndirect[infileIdx] = onehotChunk2Indirect(onehotChunk)
777                                 onehotChunkSize[infileIdx] = uint32(len(onehotChunk))
778                                 onehotXrefs[infileIdx] = onehotXref
779                                 n := len(onehotIndirect[infileIdx][0])
780                                 log.Infof("%04d: keeping onehot coordinates in memory (n=%d, mem=%d)", infileIdx, n, n*8*2)
781                         }
782                         if !(*onehotSingle || *onehotChunked || *onlyPCA) || *mergeOutput || *hgvsSingle {
783                                 log.Infof("%04d: preparing numpy (rows=%d, cols=%d)", infileIdx, len(cmd.cgnames), 2*outcol)
784                                 throttleNumpyMem.Acquire()
785                                 rows := len(cmd.cgnames)
786                                 cols := 2 * outcol
787                                 out := make([]int16, rows*cols)
788                                 for row, name := range cmd.cgnames {
789                                         outidx := row * cols
790                                         for col, v := range cgs[name].Variants {
791                                                 tag := tagstart + tagID(col/2)
792                                                 if cmd.filter.MaxTag >= 0 && tag > tagID(cmd.filter.MaxTag) {
793                                                         break
794                                                 }
795                                                 if rt := reftile[tag]; rt == nil || rt.excluded {
796                                                         continue
797                                                 }
798                                                 if v == 0 {
799                                                         out[outidx] = 0 // tag not found / spanning tile
800                                                 } else if variants, ok := seq[tag]; ok && int(v) < len(variants) && len(variants[v].Sequence) > 0 {
801                                                         out[outidx] = int16(variantRemap[tag-tagstart][v])
802                                                 } else {
803                                                         out[outidx] = -1 // low quality tile variant
804                                                 }
805                                                 if tag == cmd.debugTag {
806                                                         log.Printf("tag %d row %d col %d outidx %d v %d out %d", tag, row, col, outidx, v, out[outidx])
807                                                 }
808                                                 outidx++
809                                         }
810                                 }
811                                 seq = nil
812                                 cgs = nil
813                                 debug.FreeOSMemory()
814                                 throttleNumpyMem.Release()
815                                 if *mergeOutput || *hgvsSingle {
816                                         log.Infof("%04d: matrix fragment %d rows x %d cols", infileIdx, rows, cols)
817                                         toMerge[infileIdx] = out
818                                 }
819                                 if !*mergeOutput && !*onehotChunked && !*onehotSingle {
820                                         fnm := fmt.Sprintf("%s/matrix.%04d.npy", *outputDir, infileIdx)
821                                         err = writeNumpyInt16(fnm, out, rows, cols)
822                                         if err != nil {
823                                                 return err
824                                         }
825                                 }
826                         }
827                         debug.FreeOSMemory()
828                         log.Infof("%s: done (%d/%d)", infile, int(atomic.AddInt64(&done, 1)), len(infiles))
829                         return nil
830                 })
831         }
832         if err = throttleMem.Wait(); err != nil {
833                 return err
834         }
835
836         if *hgvsChunked {
837                 log.Info("flushing hgvsCols temp files")
838                 for seqname := range refseq {
839                         close(encodeHGVSTodo[seqname])
840                 }
841                 err = encodeHGVS.Wait()
842                 if err != nil {
843                         return err
844                 }
845                 for seqname := range refseq {
846                         log.Infof("%s: reading hgvsCols from temp file", seqname)
847                         f := tmpHGVSCols[seqname]
848                         _, err = f.Seek(0, io.SeekStart)
849                         if err != nil {
850                                 return err
851                         }
852                         var hgvsCols hgvsColSet
853                         dec := gob.NewDecoder(bufio.NewReaderSize(f, 1<<24))
854                         for err == nil {
855                                 err = dec.Decode(&hgvsCols)
856                         }
857                         if err != io.EOF {
858                                 return err
859                         }
860                         log.Infof("%s: sorting %d hgvs variants", seqname, len(hgvsCols))
861                         variants := make([]hgvs.Variant, 0, len(hgvsCols))
862                         for v := range hgvsCols {
863                                 variants = append(variants, v)
864                         }
865                         sort.Slice(variants, func(i, j int) bool {
866                                 vi, vj := &variants[i], &variants[j]
867                                 if vi.Position != vj.Position {
868                                         return vi.Position < vj.Position
869                                 } else if vi.Ref != vj.Ref {
870                                         return vi.Ref < vj.Ref
871                                 } else {
872                                         return vi.New < vj.New
873                                 }
874                         })
875                         rows := len(cmd.cgnames)
876                         cols := len(variants) * 2
877                         log.Infof("%s: building hgvs matrix (rows=%d, cols=%d, mem=%d)", seqname, rows, cols, rows*cols)
878                         out := make([]int8, rows*cols)
879                         for varIdx, variant := range variants {
880                                 hgvsCols := hgvsCols[variant]
881                                 for row := range cmd.cgnames {
882                                         for ph := 0; ph < 2; ph++ {
883                                                 out[row*cols+varIdx+ph] = hgvsCols[ph][row]
884                                         }
885                                 }
886                         }
887                         err = writeNumpyInt8(fmt.Sprintf("%s/hgvs.%s.npy", *outputDir, seqname), out, rows, cols)
888                         if err != nil {
889                                 return err
890                         }
891                         out = nil
892
893                         fnm := fmt.Sprintf("%s/hgvs.%s.annotations.csv", *outputDir, seqname)
894                         log.Infof("%s: writing hgvs column labels to %s", seqname, fnm)
895                         var hgvsLabels bytes.Buffer
896                         for varIdx, variant := range variants {
897                                 fmt.Fprintf(&hgvsLabels, "%d,%s:g.%s\n", varIdx, seqname, variant.String())
898                         }
899                         err = ioutil.WriteFile(fnm, hgvsLabels.Bytes(), 0666)
900                         if err != nil {
901                                 return err
902                         }
903                 }
904         }
905
906         if *mergeOutput || *hgvsSingle {
907                 var annow *bufio.Writer
908                 var annof *os.File
909                 if *mergeOutput {
910                         annoFilename := fmt.Sprintf("%s/matrix.annotations.csv", *outputDir)
911                         annof, err = os.Create(annoFilename)
912                         if err != nil {
913                                 return err
914                         }
915                         annow = bufio.NewWriterSize(annof, 1<<20)
916                 }
917
918                 rows := len(cmd.cgnames)
919                 cols := 0
920                 for _, chunk := range toMerge {
921                         cols += len(chunk) / rows
922                 }
923                 log.Infof("merging output matrix (rows=%d, cols=%d, mem=%d) and annotations", rows, cols, rows*cols*2)
924                 var out []int16
925                 if *mergeOutput {
926                         out = make([]int16, rows*cols)
927                 }
928                 hgvsCols := map[string][2][]int16{} // hgvs -> [[g0,g1,g2,...], [g0,g1,g2,...]] (slice of genomes for each phase)
929                 startcol := 0
930                 for outIdx, chunk := range toMerge {
931                         chunkcols := len(chunk) / rows
932                         if *mergeOutput {
933                                 for row := 0; row < rows; row++ {
934                                         copy(out[row*cols+startcol:], chunk[row*chunkcols:(row+1)*chunkcols])
935                                 }
936                         }
937                         toMerge[outIdx] = nil
938
939                         annotationsFilename := fmt.Sprintf("%s/matrix.%04d.annotations.csv", *outputDir, outIdx)
940                         log.Infof("reading %s", annotationsFilename)
941                         buf, err := os.ReadFile(annotationsFilename)
942                         if err != nil {
943                                 return err
944                         }
945                         if *mergeOutput {
946                                 err = os.Remove(annotationsFilename)
947                                 if err != nil {
948                                         return err
949                                 }
950                         }
951                         for _, line := range bytes.Split(buf, []byte{'\n'}) {
952                                 if len(line) == 0 {
953                                         continue
954                                 }
955                                 fields := bytes.SplitN(line, []byte{','}, 9)
956                                 tag, _ := strconv.Atoi(string(fields[0]))
957                                 incol, _ := strconv.Atoi(string(fields[1]))
958                                 tileVariant, _ := strconv.Atoi(string(fields[2]))
959                                 hgvsID := string(fields[3])
960                                 seqname := string(fields[4])
961                                 pos, _ := strconv.Atoi(string(fields[5]))
962                                 refseq := fields[6]
963                                 if hgvsID == "" {
964                                         // Null entry for un-diffable
965                                         // tile variant
966                                         continue
967                                 }
968                                 if hgvsID == "=" {
969                                         // Null entry for ref tile
970                                         continue
971                                 }
972                                 if mask != nil && !mask.Check(strings.TrimPrefix(seqname, "chr"), pos, pos+len(refseq)) {
973                                         // The tile intersects one of
974                                         // the selected regions, but
975                                         // this particular HGVS
976                                         // variant does not.
977                                         continue
978                                 }
979                                 hgvsColPair := hgvsCols[hgvsID]
980                                 if hgvsColPair[0] == nil {
981                                         // values in new columns start
982                                         // out as -1 ("no data yet")
983                                         // or 0 ("=ref") here, may
984                                         // change to 1 ("hgvs variant
985                                         // present") below, either on
986                                         // this line or a future line.
987                                         hgvsColPair = [2][]int16{make([]int16, len(cmd.cgnames)), make([]int16, len(cmd.cgnames))}
988                                         rt, ok := reftile[tagID(tag)]
989                                         if !ok {
990                                                 err = fmt.Errorf("bug: seeing annotations for tag %d, but it has no reftile entry", tag)
991                                                 return err
992                                         }
993                                         for ph := 0; ph < 2; ph++ {
994                                                 for row := 0; row < rows; row++ {
995                                                         v := chunk[row*chunkcols+incol*2+ph]
996                                                         if tileVariantID(v) == rt.variant {
997                                                                 hgvsColPair[ph][row] = 0
998                                                         } else {
999                                                                 hgvsColPair[ph][row] = -1
1000                                                         }
1001                                                 }
1002                                         }
1003                                         hgvsCols[hgvsID] = hgvsColPair
1004                                         if annow != nil {
1005                                                 hgvsref := hgvs.Variant{
1006                                                         Position: pos,
1007                                                         Ref:      string(refseq),
1008                                                         New:      string(refseq),
1009                                                 }
1010                                                 fmt.Fprintf(annow, "%d,%d,%d,%s:g.%s,%s,%d,%s,%s,%s\n", tag, incol+startcol/2, rt.variant, seqname, hgvsref.String(), seqname, pos, refseq, refseq, fields[8])
1011                                         }
1012                                 }
1013                                 if annow != nil {
1014                                         fmt.Fprintf(annow, "%d,%d,%d,%s,%s,%d,%s,%s,%s\n", tag, incol+startcol/2, tileVariant, hgvsID, seqname, pos, refseq, fields[7], fields[8])
1015                                 }
1016                                 for ph := 0; ph < 2; ph++ {
1017                                         for row := 0; row < rows; row++ {
1018                                                 v := chunk[row*chunkcols+incol*2+ph]
1019                                                 if int(v) == tileVariant {
1020                                                         hgvsColPair[ph][row] = 1
1021                                                 }
1022                                         }
1023                                 }
1024                         }
1025
1026                         startcol += chunkcols
1027                 }
1028                 if *mergeOutput {
1029                         err = annow.Flush()
1030                         if err != nil {
1031                                 return err
1032                         }
1033                         err = annof.Close()
1034                         if err != nil {
1035                                 return err
1036                         }
1037                         err = writeNumpyInt16(fmt.Sprintf("%s/matrix.npy", *outputDir), out, rows, cols)
1038                         if err != nil {
1039                                 return err
1040                         }
1041                 }
1042                 out = nil
1043
1044                 if *hgvsSingle {
1045                         cols = len(hgvsCols) * 2
1046                         log.Printf("building hgvs-based matrix: %d rows x %d cols", rows, cols)
1047                         out = make([]int16, rows*cols)
1048                         hgvsIDs := make([]string, 0, cols/2)
1049                         for hgvsID := range hgvsCols {
1050                                 hgvsIDs = append(hgvsIDs, hgvsID)
1051                         }
1052                         sort.Strings(hgvsIDs)
1053                         var hgvsLabels bytes.Buffer
1054                         for idx, hgvsID := range hgvsIDs {
1055                                 fmt.Fprintf(&hgvsLabels, "%d,%s\n", idx, hgvsID)
1056                                 for ph := 0; ph < 2; ph++ {
1057                                         hgvscol := hgvsCols[hgvsID][ph]
1058                                         for row, val := range hgvscol {
1059                                                 out[row*cols+idx*2+ph] = val
1060                                         }
1061                                 }
1062                         }
1063                         err = writeNumpyInt16(fmt.Sprintf("%s/hgvs.npy", *outputDir), out, rows, cols)
1064                         if err != nil {
1065                                 return err
1066                         }
1067
1068                         fnm := fmt.Sprintf("%s/hgvs.annotations.csv", *outputDir)
1069                         log.Printf("writing hgvs labels: %s", fnm)
1070                         err = ioutil.WriteFile(fnm, hgvsLabels.Bytes(), 0777)
1071                         if err != nil {
1072                                 return err
1073                         }
1074                 }
1075         }
1076         if *onehotSingle || *onlyPCA {
1077                 nzCount := 0
1078                 for _, part := range onehotIndirect {
1079                         nzCount += len(part[0])
1080                 }
1081                 onehot := make([]uint32, nzCount*2) // [r,r,r,...,c,c,c,...]
1082                 var xrefs []onehotXref
1083                 chunkOffset := uint32(0)
1084                 outcol := 0
1085                 for i, part := range onehotIndirect {
1086                         for i := range part[1] {
1087                                 part[1][i] += chunkOffset
1088                         }
1089                         copy(onehot[outcol:], part[0])
1090                         copy(onehot[outcol+nzCount:], part[1])
1091                         xrefs = append(xrefs, onehotXrefs[i]...)
1092
1093                         outcol += len(part[0])
1094                         chunkOffset += onehotChunkSize[i]
1095
1096                         part[0] = nil
1097                         part[1] = nil
1098                         onehotXrefs[i] = nil
1099                         debug.FreeOSMemory()
1100                 }
1101                 if *onehotSingle {
1102                         fnm := fmt.Sprintf("%s/onehot.npy", *outputDir)
1103                         err = writeNumpyUint32(fnm, onehot, 2, nzCount)
1104                         if err != nil {
1105                                 return err
1106                         }
1107                         fnm = fmt.Sprintf("%s/onehot-columns.npy", *outputDir)
1108                         err = writeNumpyInt32(fnm, onehotXref2int32(xrefs), 5, len(xrefs))
1109                         if err != nil {
1110                                 return err
1111                         }
1112                 }
1113                 if *onlyPCA {
1114                         cols := 0
1115                         for _, c := range onehot[nzCount:] {
1116                                 if int(c) >= cols {
1117                                         cols = int(c) + 1
1118                                 }
1119                         }
1120                         if cols == 0 {
1121                                 return fmt.Errorf("cannot do PCA: one-hot matrix is empty")
1122                         }
1123                         log.Printf("have %d one-hot cols", cols)
1124                         stride := 1
1125                         for *maxPCATiles > 0 && cols > *maxPCATiles*2 {
1126                                 cols = (cols + 1) / 2
1127                                 stride = stride * 2
1128                         }
1129                         log.Printf("creating full matrix (%d rows) and training matrix (%d rows) with %d cols, stride %d", len(cmd.cgnames), cmd.trainingSetSize, cols, stride)
1130                         mtxFull := mat.NewDense(len(cmd.cgnames), cols, nil)
1131                         mtxTrain := mat.NewDense(cmd.trainingSetSize, cols, nil)
1132                         for i, c := range onehot[nzCount:] {
1133                                 if int(c/2)%stride == 0 {
1134                                         outcol := int(c/2)/stride*2 + int(c)%2
1135                                         mtxFull.Set(int(onehot[i]), outcol, 1)
1136                                         if trainRow := cmd.trainingSet[int(onehot[i])]; trainRow >= 0 {
1137                                                 mtxTrain.Set(trainRow, outcol, 1)
1138                                         }
1139                                 }
1140                         }
1141                         log.Print("fitting")
1142                         transformer := nlp.NewPCA(*pcaComponents)
1143                         transformer.Fit(mtxTrain.T())
1144                         log.Printf("transforming")
1145                         pca, err := transformer.Transform(mtxFull.T())
1146                         if err != nil {
1147                                 return err
1148                         }
1149                         pca = pca.T()
1150                         outrows, outcols := pca.Dims()
1151                         log.Printf("copying result to numpy output array: %d rows, %d cols", outrows, outcols)
1152                         out := make([]float64, outrows*outcols)
1153                         for i := 0; i < outrows; i++ {
1154                                 for j := 0; j < outcols; j++ {
1155                                         out[i*outcols+j] = pca.At(i, j)
1156                                 }
1157                         }
1158                         fnm := fmt.Sprintf("%s/pca.npy", *outputDir)
1159                         log.Printf("writing numpy: %s", fnm)
1160                         output, err := os.OpenFile(fnm, os.O_CREATE|os.O_TRUNC|os.O_WRONLY, 0777)
1161                         if err != nil {
1162                                 return err
1163                         }
1164                         npw, err := gonpy.NewWriter(nopCloser{output})
1165                         if err != nil {
1166                                 return fmt.Errorf("gonpy.NewWriter: %w", err)
1167                         }
1168                         npw.Shape = []int{outrows, outcols}
1169                         err = npw.WriteFloat64(out)
1170                         if err != nil {
1171                                 return fmt.Errorf("WriteFloat64: %w", err)
1172                         }
1173                         err = output.Close()
1174                         if err != nil {
1175                                 return err
1176                         }
1177                         log.Print("done")
1178
1179                         samplesOutFilename := *outputDir + "/samples.csv"
1180                         log.Infof("writing sample metadata to %s", samplesOutFilename)
1181                         var f *os.File
1182                         f, err = os.Create(samplesOutFilename)
1183                         if err != nil {
1184                                 return err
1185                         }
1186                         defer f.Close()
1187                         for i, si := range cmd.samples {
1188                                 var cc, tv string
1189                                 if si.isCase {
1190                                         cc = "1"
1191                                 } else if si.isControl {
1192                                         cc = "0"
1193                                 }
1194                                 if si.isTraining {
1195                                         tv = "1"
1196                                 } else {
1197                                         tv = "0"
1198                                 }
1199                                 var pcavals string
1200                                 for c := 0; c < outcols; c++ {
1201                                         pcavals += fmt.Sprintf(",%f", pca.At(i, c))
1202                                 }
1203                                 _, err = fmt.Fprintf(f, "%d,%s,%s,%s%s\n", i, si.id, cc, tv, pcavals)
1204                                 if err != nil {
1205                                         err = fmt.Errorf("write %s: %w", samplesOutFilename, err)
1206                                         return err
1207                                 }
1208                         }
1209                         err = f.Close()
1210                         if err != nil {
1211                                 err = fmt.Errorf("close %s: %w", samplesOutFilename, err)
1212                                 return err
1213                         }
1214                         log.Print("done")
1215                 }
1216         }
1217         if !*mergeOutput && !*onehotChunked && !*onehotSingle && !*onlyPCA {
1218                 tagoffsetFilename := *outputDir + "/chunk-tag-offset.csv"
1219                 log.Infof("writing tag offsets to %s", tagoffsetFilename)
1220                 var f *os.File
1221                 f, err = os.Create(tagoffsetFilename)
1222                 if err != nil {
1223                         return err
1224                 }
1225                 defer f.Close()
1226                 for idx, offset := range chunkStartTag {
1227                         _, err = fmt.Fprintf(f, "%q,%d\n", fmt.Sprintf("matrix.%04d.npy", idx), offset)
1228                         if err != nil {
1229                                 err = fmt.Errorf("write %s: %w", tagoffsetFilename, err)
1230                                 return err
1231                         }
1232                 }
1233                 err = f.Close()
1234                 if err != nil {
1235                         err = fmt.Errorf("close %s: %w", tagoffsetFilename, err)
1236                         return err
1237                 }
1238         }
1239
1240         return nil
1241 }
1242
1243 type sampleInfo struct {
1244         id            string
1245         isCase        bool
1246         isControl     bool
1247         isTraining    bool
1248         isValidation  bool
1249         pcaComponents []float64
1250 }
1251
1252 // Read samples.csv file with case/control and training/validation
1253 // flags.
1254 func (cmd *sliceNumpy) loadSampleInfo(samplesFilename string) ([]sampleInfo, error) {
1255         var si []sampleInfo
1256         f, err := open(samplesFilename)
1257         if err != nil {
1258                 return nil, err
1259         }
1260         buf, err := io.ReadAll(f)
1261         f.Close()
1262         if err != nil {
1263                 return nil, err
1264         }
1265         lineNum := 0
1266         for _, csv := range bytes.Split(buf, []byte{'\n'}) {
1267                 lineNum++
1268                 split := strings.Split(string(csv), ",")
1269                 if len(split) != 4 {
1270                         return nil, fmt.Errorf("%d fields != 4 in %s line %d: %q", len(split), samplesFilename, lineNum, csv)
1271                 }
1272                 if split[0] == "Index" && split[1] == "SampleID" && split[2] == "CaseControl" && split[3] == "TrainingValidation" {
1273                         continue
1274                 }
1275                 idx, err := strconv.Atoi(split[0])
1276                 if err != nil {
1277                         if lineNum == 1 {
1278                                 return nil, fmt.Errorf("header does not look right: %q", csv)
1279                         }
1280                         return nil, fmt.Errorf("%s line %d: index: %s", samplesFilename, lineNum, err)
1281                 }
1282                 if idx != len(si) {
1283                         return nil, fmt.Errorf("%s line %d: index %d out of order", samplesFilename, lineNum, idx)
1284                 }
1285                 si = append(si, sampleInfo{
1286                         id:           split[1],
1287                         isCase:       split[2] == "1",
1288                         isControl:    split[2] == "0",
1289                         isTraining:   split[3] == "1",
1290                         isValidation: split[3] == "0",
1291                 })
1292         }
1293         return si, nil
1294 }
1295
1296 func (cmd *sliceNumpy) filterHGVScolpair(colpair [2][]int8) bool {
1297         if cmd.chi2PValue >= 1 {
1298                 return true
1299         }
1300         col0 := make([]bool, 0, len(cmd.chi2Cases))
1301         col1 := make([]bool, 0, len(cmd.chi2Cases))
1302         cases := make([]bool, 0, len(cmd.chi2Cases))
1303         for i, c := range cmd.chi2Cases {
1304                 if colpair[0][i] < 0 {
1305                         continue
1306                 }
1307                 col0 = append(col0, colpair[0][i] != 0)
1308                 col1 = append(col1, colpair[1][i] != 0)
1309                 cases = append(cases, c)
1310         }
1311         return len(cases) >= cmd.minCoverage &&
1312                 (pvalue(col0, cases) <= cmd.chi2PValue || pvalue(col1, cases) <= cmd.chi2PValue)
1313 }
1314
1315 func writeNumpyUint32(fnm string, out []uint32, rows, cols int) error {
1316         output, err := os.Create(fnm)
1317         if err != nil {
1318                 return err
1319         }
1320         defer output.Close()
1321         bufw := bufio.NewWriterSize(output, 1<<26)
1322         npw, err := gonpy.NewWriter(nopCloser{bufw})
1323         if err != nil {
1324                 return err
1325         }
1326         log.WithFields(log.Fields{
1327                 "filename": fnm,
1328                 "rows":     rows,
1329                 "cols":     cols,
1330                 "bytes":    rows * cols * 4,
1331         }).Infof("writing numpy: %s", fnm)
1332         npw.Shape = []int{rows, cols}
1333         npw.WriteUint32(out)
1334         err = bufw.Flush()
1335         if err != nil {
1336                 return err
1337         }
1338         return output.Close()
1339 }
1340
1341 func writeNumpyInt32(fnm string, out []int32, rows, cols int) error {
1342         output, err := os.Create(fnm)
1343         if err != nil {
1344                 return err
1345         }
1346         defer output.Close()
1347         bufw := bufio.NewWriterSize(output, 1<<26)
1348         npw, err := gonpy.NewWriter(nopCloser{bufw})
1349         if err != nil {
1350                 return err
1351         }
1352         log.WithFields(log.Fields{
1353                 "filename": fnm,
1354                 "rows":     rows,
1355                 "cols":     cols,
1356                 "bytes":    rows * cols * 4,
1357         }).Infof("writing numpy: %s", fnm)
1358         npw.Shape = []int{rows, cols}
1359         npw.WriteInt32(out)
1360         err = bufw.Flush()
1361         if err != nil {
1362                 return err
1363         }
1364         return output.Close()
1365 }
1366
1367 func writeNumpyInt16(fnm string, out []int16, rows, cols int) error {
1368         output, err := os.Create(fnm)
1369         if err != nil {
1370                 return err
1371         }
1372         defer output.Close()
1373         bufw := bufio.NewWriterSize(output, 1<<26)
1374         npw, err := gonpy.NewWriter(nopCloser{bufw})
1375         if err != nil {
1376                 return err
1377         }
1378         log.WithFields(log.Fields{
1379                 "filename": fnm,
1380                 "rows":     rows,
1381                 "cols":     cols,
1382                 "bytes":    rows * cols * 2,
1383         }).Infof("writing numpy: %s", fnm)
1384         npw.Shape = []int{rows, cols}
1385         npw.WriteInt16(out)
1386         err = bufw.Flush()
1387         if err != nil {
1388                 return err
1389         }
1390         return output.Close()
1391 }
1392
1393 func writeNumpyInt8(fnm string, out []int8, rows, cols int) error {
1394         output, err := os.Create(fnm)
1395         if err != nil {
1396                 return err
1397         }
1398         defer output.Close()
1399         bufw := bufio.NewWriterSize(output, 1<<26)
1400         npw, err := gonpy.NewWriter(nopCloser{bufw})
1401         if err != nil {
1402                 return err
1403         }
1404         log.WithFields(log.Fields{
1405                 "filename": fnm,
1406                 "rows":     rows,
1407                 "cols":     cols,
1408                 "bytes":    rows * cols,
1409         }).Infof("writing numpy: %s", fnm)
1410         npw.Shape = []int{rows, cols}
1411         npw.WriteInt8(out)
1412         err = bufw.Flush()
1413         if err != nil {
1414                 return err
1415         }
1416         return output.Close()
1417 }
1418
1419 func allele2homhet(colpair [2][]int8) {
1420         a, b := colpair[0], colpair[1]
1421         for i, av := range a {
1422                 bv := b[i]
1423                 if av < 0 || bv < 0 {
1424                         // no-call
1425                         a[i], b[i] = -1, -1
1426                 } else if av > 0 && bv > 0 {
1427                         // hom
1428                         a[i], b[i] = 1, 0
1429                 } else if av > 0 || bv > 0 {
1430                         // het
1431                         a[i], b[i] = 0, 1
1432                 } else {
1433                         // ref (or a different variant in same position)
1434                         // (this is a no-op) a[i], b[i] = 0, 0
1435                 }
1436         }
1437 }
1438
1439 type onehotXref struct {
1440         tag     tagID
1441         variant tileVariantID
1442         hom     bool
1443         pvalue  float64
1444 }
1445
1446 const onehotXrefSize = unsafe.Sizeof(onehotXref{})
1447
1448 // Build onehot matrix (m[tileVariantIndex][genome] == 0 or 1) for all
1449 // variants of a single tile/tag#.
1450 //
1451 // Return nil if no tile variant passes Χ² filter.
1452 func (cmd *sliceNumpy) tv2homhet(cgs map[string]CompactGenome, maxv tileVariantID, remap []tileVariantID, tag, chunkstarttag tagID, seq map[tagID][]TileVariant) ([][]int8, []onehotXref) {
1453         if tag == cmd.debugTag {
1454                 tv := make([]tileVariantID, len(cmd.cgnames)*2)
1455                 for i, name := range cmd.cgnames {
1456                         copy(tv[i*2:(i+1)*2], cgs[name].Variants[(tag-chunkstarttag)*2:])
1457                 }
1458                 log.WithFields(logrus.Fields{
1459                         "cgs[i].Variants[tag*2+j]": tv,
1460                         "maxv":                     maxv,
1461                         "remap":                    remap,
1462                         "tag":                      tag,
1463                         "chunkstarttag":            chunkstarttag,
1464                 }).Info("tv2homhet()")
1465         }
1466         if maxv < 1 || (maxv < 2 && !cmd.includeVariant1) {
1467                 // everyone has the most common variant (of the variants we don't drop)
1468                 return nil, nil
1469         }
1470         tagoffset := tag - chunkstarttag
1471         coverage := 0
1472         for _, cg := range cgs {
1473                 alleles := 0
1474                 for _, v := range cg.Variants[tagoffset*2 : tagoffset*2+2] {
1475                         if v > 0 && int(v) < len(seq[tag]) && len(seq[tag][v].Sequence) > 0 {
1476                                 alleles++
1477                         }
1478                 }
1479                 if alleles == 2 {
1480                         coverage++
1481                 }
1482         }
1483         if coverage < cmd.minCoverage {
1484                 return nil, nil
1485         }
1486         obs := make([][]bool, (maxv+1)*2) // 2 slices (hom + het) for each variant#
1487         for i := range obs {
1488                 obs[i] = make([]bool, len(cmd.cgnames))
1489         }
1490         for cgid, name := range cmd.cgnames {
1491                 cgvars := cgs[name].Variants[tagoffset*2:]
1492                 tv0, tv1 := remap[cgvars[0]], remap[cgvars[1]]
1493                 for v := tileVariantID(1); v <= maxv; v++ {
1494                         if tv0 == v && tv1 == v {
1495                                 obs[v*2][cgid] = true
1496                         } else if tv0 == v || tv1 == v {
1497                                 obs[v*2+1][cgid] = true
1498                         }
1499                 }
1500         }
1501         var onehot [][]int8
1502         var xref []onehotXref
1503         for col := 2; col < len(obs); col++ {
1504                 // col 0,1 correspond to tile variant 0, i.e.,
1505                 // no-call; col 2,3 correspond to the most common
1506                 // variant; so we (normally) start at col 4.
1507                 if col < 4 && !cmd.includeVariant1 {
1508                         continue
1509                 }
1510                 p := pvalue(obs[col], cmd.chi2Cases)
1511                 if cmd.chi2PValue < 1 && !(p < cmd.chi2PValue) {
1512                         continue
1513                 }
1514                 onehot = append(onehot, bool2int8(obs[col]))
1515                 xref = append(xref, onehotXref{
1516                         tag:     tag,
1517                         variant: tileVariantID(col >> 1),
1518                         hom:     col&1 == 0,
1519                         pvalue:  p,
1520                 })
1521         }
1522         return onehot, xref
1523 }
1524
1525 func bool2int8(in []bool) []int8 {
1526         out := make([]int8, len(in))
1527         for i, v := range in {
1528                 if v {
1529                         out[i] = 1
1530                 }
1531         }
1532         return out
1533 }
1534
1535 // convert a []onehotXref with length N to a numpy-style []int32
1536 // matrix with N columns, one row per field of onehotXref struct.
1537 //
1538 // Hom/het row contains hom=0, het=1.
1539 //
1540 // P-value row contains 1000000x actual p-value.
1541 func onehotXref2int32(xrefs []onehotXref) []int32 {
1542         xcols := len(xrefs)
1543         xdata := make([]int32, 5*xcols)
1544         for i, xref := range xrefs {
1545                 xdata[i] = int32(xref.tag)
1546                 xdata[xcols+i] = int32(xref.variant)
1547                 if xref.hom {
1548                         xdata[xcols*2+i] = 1
1549                 }
1550                 xdata[xcols*3+i] = int32(xref.pvalue * 1000000)
1551                 xdata[xcols*4+i] = int32(-math.Log10(xref.pvalue) * 1000000)
1552         }
1553         return xdata
1554 }
1555
1556 // transpose onehot data from in[col][row] to numpy-style
1557 // out[row*cols+col].
1558 func onehotcols2int8(in [][]int8) []int8 {
1559         if len(in) == 0 {
1560                 return nil
1561         }
1562         cols := len(in)
1563         rows := len(in[0])
1564         out := make([]int8, rows*cols)
1565         for row := 0; row < rows; row++ {
1566                 outrow := out[row*cols:]
1567                 for col, incol := range in {
1568                         outrow[col] = incol[row]
1569                 }
1570         }
1571         return out
1572 }
1573
1574 // Return [2][]uint32{rowIndices, colIndices} indicating which
1575 // elements of matrixT[c][r] have non-zero values.
1576 func onehotChunk2Indirect(matrixT [][]int8) [2][]uint32 {
1577         var nz [2][]uint32
1578         for c, col := range matrixT {
1579                 for r, val := range col {
1580                         if val != 0 {
1581                                 nz[0] = append(nz[0], uint32(r))
1582                                 nz[1] = append(nz[1], uint32(c))
1583                         }
1584                 }
1585         }
1586         return nz
1587 }