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Code Issues Projects Releases Wiki Activity

Bump github.com/containers/storage from 1.20.2 to 1.21.0

Browse Source 
Bumps [github.com/containers/storage](https://github.com/containers/storage) from 1.20.2 to 1.21.0.
- [Release notes](https://github.com/containers/storage/releases)
- [Changelog](https://github.com/containers/storage/blob/master/docs/containers-storage-changes.md)
- [Commits](https://github.com/containers/storage/compare/v1.20.2...v1.21.0)

Signed-off-by: dependabot-preview[bot] <support@dependabot.com>
Signed-off-by: Daniel J Walsh <dwalsh@redhat.com>
This commit is contained in:
Daniel J Walsh
2020-07-11 07:38:43 -04:00
parent 6e295a2097
commit 5e2264d2b5
43 changed files with 2712 additions and 495 deletions
Download Patch File Download Diff File Expand all files Collapse all files

192
vendor/github.com/klauspost/compress/zstd/README.md generated vendored
View File

@@ -5,11 +5,9 @@ It offers a very wide range of compression / speed trade-off, while being backed
A high performance compression algorithm is implemented. For now focused on speed.
This package provides [compression](#Compressor) to and [decompression](#Decompressor) of Zstandard content.
Note that custom dictionaries are not supported yet, so if your code relies on that,
you cannot use the package as-is.
Note that custom dictionaries are only supported for decompression.
This package is pure Go and without use of "unsafe".
If a significant speedup can be achieved using "unsafe", it may be added as an option later.
The `zstd` package is provided as open source software using a Go standard license.
@@ -142,80 +140,96 @@ Using the Encoder for both a stream and individual blocks concurrently is safe.
I have collected some speed examples to compare speed and compression against other compressors.
* `file` is the input file.
* `out` is the compressor used. `zskp` is this package. `gzstd` is gzip standard library. `zstd` is the Datadog cgo library.
* `out` is the compressor used. `zskp` is this package. `zstd` is the Datadog cgo library. `gzstd/gzkp` is gzip standard and this library.
* `level` is the compression level used. For `zskp` level 1 is "fastest", level 2 is "default".
* `insize`/`outsize` is the input/output size.
* `millis` is the number of milliseconds used for compression.
* `mb/s` is megabytes (2^20 bytes) per second.
```
The test data for the Large Text Compression Benchmark is the first
10^9 bytes of the English Wikipedia dump on Mar. 3, 2006.
http://mattmahoney.net/dc/textdata.html
Silesia Corpus:
http://sun.aei.polsl.pl/~sdeor/corpus/silesia.zip
file out level insize outsize millis mb/s
enwik9 zskp 1 1000000000 343833033 5840 163.30
enwik9 zskp 2 1000000000 317822183 8449 112.87
enwik9 gzstd 1 1000000000 382578136 13627 69.98
enwik9 gzstd 3 1000000000 349139651 22344 42.68
enwik9 zstd 1 1000000000 357416379 4838 197.12
enwik9 zstd 3 1000000000 313734522 7556 126.21
This package:
file out level insize outsize millis mb/s
silesia.tar zskp 1 211947520 73101992 643 313.87
silesia.tar zskp 2 211947520 67504318 969 208.38
silesia.tar zskp 3 211947520 65177448 1899 106.44
cgo zstd:
silesia.tar zstd 1 211947520 73605392 543 371.56
silesia.tar zstd 3 211947520 66793289 864 233.68
silesia.tar zstd 6 211947520 62916450 1913 105.66
gzip, stdlib/this package:
silesia.tar gzstd 1 211947520 80007735 1654 122.21
silesia.tar gzkp 1 211947520 80369488 1168 173.06
GOB stream of binary data. Highly compressible.
https://files.klauspost.com/compress/gob-stream.7z
file out level insize outsize millis mb/s
gob-stream zskp 1 1911399616 234981983 5100 357.42
gob-stream zskp 2 1911399616 208674003 6698 272.15
gob-stream gzstd 1 1911399616 357382641 14727 123.78
gob-stream gzstd 3 1911399616 327835097 17005 107.19
gob-stream zstd 1 1911399616 250787165 4075 447.22
gob-stream zstd 3 1911399616 208191888 5511 330.77
file out level insize outsize millis mb/s
gob-stream zskp 1 1911399616 235022249 3088 590.30
gob-stream zskp 2 1911399616 205669791 3786 481.34
gob-stream zskp 3 1911399616 185792019 9324 195.48
gob-stream zstd 1 1911399616 249810424 2637 691.26
gob-stream zstd 3 1911399616 208192146 3490 522.31
gob-stream zstd 6 1911399616 193632038 6687 272.56
gob-stream gzstd 1 1911399616 357382641 10251 177.82
gob-stream gzkp 1 1911399616 362156523 5695 320.08
Highly compressible JSON file. Similar to logs in a lot of ways.
https://files.klauspost.com/compress/adresser.001.gz
The test data for the Large Text Compression Benchmark is the first
10^9 bytes of the English Wikipedia dump on Mar. 3, 2006.
http://mattmahoney.net/dc/textdata.html
file out level insize outsize millis mb/s
adresser.001 zskp 1 1073741824 18510122 1477 692.83
adresser.001 zskp 2 1073741824 19831697 1705 600.59
adresser.001 gzstd 1 1073741824 47755503 3079 332.47
adresser.001 gzstd 3 1073741824 40052381 3051 335.63
adresser.001 zstd 1 1073741824 16135896 994 1030.18
adresser.001 zstd 3 1073741824 17794465 905 1131.49
file out level insize outsize millis mb/s
enwik9 zskp 1 1000000000 343848582 3609 264.18
enwik9 zskp 2 1000000000 317276632 5746 165.97
enwik9 zskp 3 1000000000 294540704 11725 81.34
enwik9 zstd 1 1000000000 358072021 3110 306.65
enwik9 zstd 3 1000000000 313734672 4784 199.35
enwik9 zstd 6 1000000000 295138875 10290 92.68
enwik9 gzstd 1 1000000000 382578136 9604 99.30
enwik9 gzkp 1 1000000000 383825945 6544 145.73
Highly compressible JSON file.
https://files.klauspost.com/compress/github-june-2days-2019.json.zst
file out level insize outsize millis mb/s
github-june-2days-2019.json zskp 1 6273951764 699045015 10620 563.40
github-june-2days-2019.json zskp 2 6273951764 617881763 11687 511.96
github-june-2days-2019.json zskp 3 6273951764 537511906 29252 204.54
github-june-2days-2019.json zstd 1 6273951764 766284037 8450 708.00
github-june-2days-2019.json zstd 3 6273951764 661889476 10927 547.57
github-june-2days-2019.json zstd 6 6273951764 642756859 22996 260.18
github-june-2days-2019.json gzstd 1 6273951764 1164400847 29948 199.79
github-june-2days-2019.json gzkp 1 6273951764 1128755542 19236 311.03
VM Image, Linux mint with a few installed applications:
https://files.klauspost.com/compress/rawstudio-mint14.7z
file out level insize outsize millis mb/s
rawstudio-mint14.tar zskp 1 8558382592 3648168838 33398 244.38
rawstudio-mint14.tar zskp 2 8558382592 3376721436 50962 160.16
rawstudio-mint14.tar gzstd 1 8558382592 3926257486 84712 96.35
rawstudio-mint14.tar gzstd 3 8558382592 3740711978 176344 46.28
rawstudio-mint14.tar zstd 1 8558382592 3607859742 27903 292.51
rawstudio-mint14.tar zstd 3 8558382592 3341710879 46700 174.77
file out level insize outsize millis mb/s
rawstudio-mint14.tar zskp 1 8558382592 3667489370 20210 403.84
rawstudio-mint14.tar zskp 2 8558382592 3364592300 31873 256.07
rawstudio-mint14.tar zskp 3 8558382592 3224594213 71751 113.75
rawstudio-mint14.tar zstd 1 8558382592 3609250104 17136 476.27
rawstudio-mint14.tar zstd 3 8558382592 3341679997 29262 278.92
rawstudio-mint14.tar zstd 6 8558382592 3235846406 77904 104.77
rawstudio-mint14.tar gzstd 1 8558382592 3926257486 57722 141.40
rawstudio-mint14.tar gzkp 1 8558382592 3970463184 41749 195.49
CSV data:
https://files.klauspost.com/compress/nyc-taxi-data-10M.csv.zst
The test data is designed to test archivers in realistic backup scenarios.
http://mattmahoney.net/dc/10gb.html
file out level insize outsize millis mb/s
10gb.tar zskp 1 10065157632 4883149814 45715 209.97
10gb.tar zskp 2 10065157632 4638110010 60970 157.44
10gb.tar gzstd 1 10065157632 5198296126 97769 98.18
10gb.tar gzstd 3 10065157632 4932665487 313427 30.63
10gb.tar zstd 1 10065157632 4940796535 40391 237.65
10gb.tar zstd 3 10065157632 4638618579 52911 181.42
Silesia Corpus:
http://sun.aei.polsl.pl/~sdeor/corpus/silesia.zip
file out level insize outsize millis mb/s
silesia.tar zskp 1 211947520 73025800 1108 182.26
silesia.tar zskp 2 211947520 67674684 1599 126.41
silesia.tar gzstd 1 211947520 80007735 2515 80.37
silesia.tar gzstd 3 211947520 73133380 4259 47.45
silesia.tar zstd 1 211947520 73513991 933 216.64
silesia.tar zstd 3 211947520 66793301 1377 146.79
file out level insize outsize millis mb/s
nyc-taxi-data-10M.csv zskp 1 3325605752 641339945 8925 355.35
nyc-taxi-data-10M.csv zskp 2 3325605752 591748091 11268 281.44
nyc-taxi-data-10M.csv zskp 3 3325605752 538490114 19880 159.53
nyc-taxi-data-10M.csv zstd 1 3325605752 687399637 8233 385.18
nyc-taxi-data-10M.csv zstd 3 3325605752 598514411 10065 315.07
nyc-taxi-data-10M.csv zstd 6 3325605752 570522953 20038 158.27
nyc-taxi-data-10M.csv gzstd 1 3325605752 928656485 23876 132.83
nyc-taxi-data-10M.csv gzkp 1 3325605752 924718719 16388 193.53
```
### Converters
@@ -315,13 +329,13 @@ Data compressed with [dictionaries](https://github.com/facebook/zstd#the-case-fo
Dictionaries are added individually to Decoders.
Dictionaries are generated by the `zstd --train` command and contains an initial state for the decoder.
To add a dictionary use the `RegisterDict(data)` with the dictionary data before starting any decompression.
To add a dictionary use the `WithDecoderDicts(dicts ...[]byte)` option with the dictionary data.
Several dictionaries can be added at once.
The dictionary will be used automatically for the data that specifies them.
A re-used Decoder will still contain the dictionaries registered.
When registering a dictionary with the same ID it will override the existing.
When registering multiple dictionaries with the same ID, the last one will be used.
### Allocation-less operation
@@ -364,36 +378,42 @@ These are some examples of performance compared to [datadog cgo library](https:/
The first two are streaming decodes and the last are smaller inputs.
```
BenchmarkDecoderSilesia-8 20 642550210 ns/op 329.85 MB/s 3101 B/op 8 allocs/op
BenchmarkDecoderSilesiaCgo-8 100 384930000 ns/op 550.61 MB/s 451878 B/op 9713 allocs/op
BenchmarkDecoderSilesia-8 3 385000067 ns/op 550.51 MB/s 5498 B/op 8 allocs/op
BenchmarkDecoderSilesiaCgo-8 6 197666567 ns/op 1072.25 MB/s 270672 B/op 8 allocs/op
BenchmarkDecoderEnwik9-2 10 3146000080 ns/op 317.86 MB/s 2649 B/op 9 allocs/op
BenchmarkDecoderEnwik9Cgo-2 20 1905900000 ns/op 524.69 MB/s 1125120 B/op 45785 allocs/op
BenchmarkDecoderEnwik9-8 1 2027001600 ns/op 493.34 MB/s 10496 B/op 18 allocs/op
BenchmarkDecoderEnwik9Cgo-8 2 979499200 ns/op 1020.93 MB/s 270672 B/op 8 allocs/op
BenchmarkDecoder_DecodeAll/z000000.zst-8 200 7049994 ns/op 138.26 MB/s 40 B/op 2 allocs/op
BenchmarkDecoder_DecodeAll/z000001.zst-8 100000 19560 ns/op 97.49 MB/s 40 B/op 2 allocs/op
BenchmarkDecoder_DecodeAll/z000002.zst-8 5000 297599 ns/op 236.99 MB/s 40 B/op 2 allocs/op
BenchmarkDecoder_DecodeAll/z000003.zst-8 2000 725502 ns/op 141.17 MB/s 40 B/op 2 allocs/op
BenchmarkDecoder_DecodeAll/z000004.zst-8 200000 9314 ns/op 54.54 MB/s 40 B/op 2 allocs/op
BenchmarkDecoder_DecodeAll/z000005.zst-8 10000 137500 ns/op 104.72 MB/s 40 B/op 2 allocs/op
BenchmarkDecoder_DecodeAll/z000006.zst-8 500 2316009 ns/op 206.06 MB/s 40 B/op 2 allocs/op
BenchmarkDecoder_DecodeAll/z000007.zst-8 20000 64499 ns/op 344.90 MB/s 40 B/op 2 allocs/op
BenchmarkDecoder_DecodeAll/z000008.zst-8 50000 24900 ns/op 219.56 MB/s 40 B/op 2 allocs/op
BenchmarkDecoder_DecodeAll/z000009.zst-8 1000 2348999 ns/op 154.01 MB/s 40 B/op 2 allocs/op
Concurrent performance:
BenchmarkDecoder_DecodeAllCgo/z000000.zst-8 500 4268005 ns/op 228.38 MB/s 1228849 B/op 3 allocs/op
BenchmarkDecoder_DecodeAllCgo/z000001.zst-8 100000 15250 ns/op 125.05 MB/s 2096 B/op 3 allocs/op
BenchmarkDecoder_DecodeAllCgo/z000002.zst-8 10000 147399 ns/op 478.49 MB/s 73776 B/op 3 allocs/op
BenchmarkDecoder_DecodeAllCgo/z000003.zst-8 5000 320798 ns/op 319.27 MB/s 139312 B/op 3 allocs/op
BenchmarkDecoder_DecodeAllCgo/z000004.zst-8 200000 10004 ns/op 50.77 MB/s 560 B/op 3 allocs/op
BenchmarkDecoder_DecodeAllCgo/z000005.zst-8 20000 73599 ns/op 195.64 MB/s 19120 B/op 3 allocs/op
BenchmarkDecoder_DecodeAllCgo/z000006.zst-8 1000 1119003 ns/op 426.48 MB/s 557104 B/op 3 allocs/op
BenchmarkDecoder_DecodeAllCgo/z000007.zst-8 20000 103450 ns/op 215.04 MB/s 71296 B/op 9 allocs/op
BenchmarkDecoder_DecodeAllCgo/z000008.zst-8 100000 20130 ns/op 271.58 MB/s 6192 B/op 3 allocs/op
BenchmarkDecoder_DecodeAllCgo/z000009.zst-8 2000 1123500 ns/op 322.00 MB/s 368688 B/op 3 allocs/op
BenchmarkDecoder_DecodeAllParallel/kppkn.gtb.zst-16 28915 42469 ns/op 4340.07 MB/s 114 B/op 0 allocs/op
BenchmarkDecoder_DecodeAllParallel/geo.protodata.zst-16 116505 9965 ns/op 11900.16 MB/s 16 B/op 0 allocs/op
BenchmarkDecoder_DecodeAllParallel/plrabn12.txt.zst-16 8952 134272 ns/op 3588.70 MB/s 915 B/op 0 allocs/op
BenchmarkDecoder_DecodeAllParallel/lcet10.txt.zst-16 11820 102538 ns/op 4161.90 MB/s 594 B/op 0 allocs/op
BenchmarkDecoder_DecodeAllParallel/asyoulik.txt.zst-16 34782 34184 ns/op 3661.88 MB/s 60 B/op 0 allocs/op
BenchmarkDecoder_DecodeAllParallel/alice29.txt.zst-16 27712 43447 ns/op 3500.58 MB/s 99 B/op 0 allocs/op
BenchmarkDecoder_DecodeAllParallel/html_x_4.zst-16 62826 18750 ns/op 21845.10 MB/s 104 B/op 0 allocs/op
BenchmarkDecoder_DecodeAllParallel/paper-100k.pdf.zst-16 631545 1794 ns/op 57078.74 MB/s 2 B/op 0 allocs/op
BenchmarkDecoder_DecodeAllParallel/fireworks.jpeg.zst-16 1690140 712 ns/op 172938.13 MB/s 1 B/op 0 allocs/op
BenchmarkDecoder_DecodeAllParallel/urls.10K.zst-16 10432 113593 ns/op 6180.73 MB/s 1143 B/op 0 allocs/op
BenchmarkDecoder_DecodeAllParallel/html.zst-16 113206 10671 ns/op 9596.27 MB/s 15 B/op 0 allocs/op
BenchmarkDecoder_DecodeAllParallel/comp-data.bin.zst-16 1530615 779 ns/op 5229.49 MB/s 0 B/op 0 allocs/op
BenchmarkDecoder_DecodeAllParallelCgo/kppkn.gtb.zst-16 65217 16192 ns/op 11383.34 MB/s 46 B/op 0 allocs/op
BenchmarkDecoder_DecodeAllParallelCgo/geo.protodata.zst-16 292671 4039 ns/op 29363.19 MB/s 6 B/op 0 allocs/op
BenchmarkDecoder_DecodeAllParallelCgo/plrabn12.txt.zst-16 26314 46021 ns/op 10470.43 MB/s 293 B/op 0 allocs/op
BenchmarkDecoder_DecodeAllParallelCgo/lcet10.txt.zst-16 33897 34900 ns/op 12227.96 MB/s 205 B/op 0 allocs/op
BenchmarkDecoder_DecodeAllParallelCgo/asyoulik.txt.zst-16 104348 11433 ns/op 10949.01 MB/s 20 B/op 0 allocs/op
BenchmarkDecoder_DecodeAllParallelCgo/alice29.txt.zst-16 75949 15510 ns/op 9805.60 MB/s 32 B/op 0 allocs/op
BenchmarkDecoder_DecodeAllParallelCgo/html_x_4.zst-16 173910 6756 ns/op 60624.29 MB/s 37 B/op 0 allocs/op
BenchmarkDecoder_DecodeAllParallelCgo/paper-100k.pdf.zst-16 923076 1339 ns/op 76474.87 MB/s 1 B/op 0 allocs/op
BenchmarkDecoder_DecodeAllParallelCgo/fireworks.jpeg.zst-16 922920 1351 ns/op 91102.57 MB/s 2 B/op 0 allocs/op
BenchmarkDecoder_DecodeAllParallelCgo/urls.10K.zst-16 27649 43618 ns/op 16096.19 MB/s 407 B/op 0 allocs/op
BenchmarkDecoder_DecodeAllParallelCgo/html.zst-16 279073 4160 ns/op 24614.18 MB/s 6 B/op 0 allocs/op
BenchmarkDecoder_DecodeAllParallelCgo/comp-data.bin.zst-16 749938 1579 ns/op 2581.71 MB/s 0 B/op 0 allocs/op
```
This reflects the performance around May 2019, but this may be out of date.
This reflects the performance around May 2020, but this may be out of date.
# Contributions

4
vendor/github.com/klauspost/compress/zstd/blockenc.go generated vendored
View File

@@ -444,9 +444,9 @@ func fuzzFseEncoder(data []byte) int {
}
// encode will encode the block and append the output in b.output.
func (b *blockEnc) encode(raw bool) error {
func (b *blockEnc) encode(raw, rawAllLits bool) error {
if len(b.sequences) == 0 {
return b.encodeLits(raw)
return b.encodeLits(rawAllLits)
}
// We want some difference
if len(b.literals) > (b.size - (b.size >> 5)) {

20
vendor/github.com/klauspost/compress/zstd/decoder.go generated vendored
View File

@@ -85,6 +85,13 @@ func NewReader(r io.Reader, opts ...DOption) (*Decoder, error) {
d.current.output = make(chan decodeOutput, d.o.concurrent)
d.current.flushed = true
// Transfer option dicts.
d.dicts = make(map[uint32]dict, len(d.o.dicts))
for _, dc := range d.o.dicts {
d.dicts[dc.id] = dc
}
d.o.dicts = nil
// Create decoders
d.decoders = make(chan *blockDec, d.o.concurrent)
for i := 0; i < d.o.concurrent; i++ {
@@ -399,19 +406,6 @@ func (d *Decoder) Close() {
d.current.err = ErrDecoderClosed
}
// RegisterDict will load a dictionary
func (d *Decoder) RegisterDict(b []byte) error {
dc, err := loadDict(b)
if err != nil {
return err
}
if d.dicts == nil {
d.dicts = make(map[uint32]dict, 1)
}
d.dicts[dc.id] = *dc
return nil
}
// IOReadCloser returns the decoder as an io.ReadCloser for convenience.
// Any changes to the decoder will be reflected, so the returned ReadCloser
// can be reused along with the decoder.

16
vendor/github.com/klauspost/compress/zstd/decoder_options.go generated vendored
View File

@@ -18,6 +18,7 @@ type decoderOptions struct {
lowMem bool
concurrent int
maxDecodedSize uint64
dicts []dict
}
func (o *decoderOptions) setDefault() {
@@ -66,3 +67,18 @@ func WithDecoderMaxMemory(n uint64) DOption {
return nil
}
}
// WithDecoderDicts allows to register one or more dictionaries for the decoder.
// If several dictionaries with the same ID is provided the last one will be used.
func WithDecoderDicts(dicts ...[]byte) DOption {
return func(o *decoderOptions) error {
for _, b := range dicts {
d, err := loadDict(b)
if err != nil {
return err
}
o.dicts = append(o.dicts, *d)
}
return nil
}
}

6
vendor/github.com/klauspost/compress/zstd/encoder.go generated vendored
View File

@@ -280,7 +280,7 @@ func (e *Encoder) nextBlock(final bool) error {
// If we got the exact same number of literals as input,
// assume the literals cannot be compressed.
if len(src) != len(blk.literals) || len(src) != e.o.blockSize {
err = blk.encode(e.o.noEntropy)
err = blk.encode(e.o.noEntropy, !e.o.allLitEntropy)
}
switch err {
case errIncompressible:
@@ -491,7 +491,7 @@ func (e *Encoder) EncodeAll(src, dst []byte) []byte {
if len(blk.literals) != len(src) || len(src) != e.o.blockSize {
// Output directly to dst
blk.output = dst
err = blk.encode(e.o.noEntropy)
err = blk.encode(e.o.noEntropy, !e.o.allLitEntropy)
}
switch err {
@@ -528,7 +528,7 @@ func (e *Encoder) EncodeAll(src, dst []byte) []byte {
// If we got the exact same number of literals as input,
// assume the literals cannot be compressed.
if len(blk.literals) != len(todo) || len(todo) != e.o.blockSize {
err = blk.encode(e.o.noEntropy)
err = blk.encode(e.o.noEntropy, !e.o.allLitEntropy)
}
switch err {

38
vendor/github.com/klauspost/compress/zstd/encoder_options.go generated vendored
View File

@@ -12,16 +12,18 @@ type EOption func(*encoderOptions) error
// options retains accumulated state of multiple options.
type encoderOptions struct {
concurrent int
level EncoderLevel
single *bool
pad int
blockSize int
windowSize int
crc bool
fullZero bool
noEntropy bool
customWindow bool
concurrent int
level EncoderLevel
single *bool
pad int
blockSize int
windowSize int
crc bool
fullZero bool
noEntropy bool
allLitEntropy bool
customWindow bool
customALEntropy bool
}
func (o *encoderOptions) setDefault() {
@@ -207,6 +209,10 @@ func WithEncoderLevel(l EncoderLevel) EOption {
o.windowSize = 16 << 20
}
}
if !o.customALEntropy {
o.allLitEntropy = l > SpeedFastest
}
return nil
}
}
@@ -221,6 +227,18 @@ func WithZeroFrames(b bool) EOption {
}
}
// WithAllLitEntropyCompression will apply entropy compression if no matches are found.
// Disabling this will skip incompressible data faster, but in cases with no matches but
// skewed character distribution compression is lost.
// Default value depends on the compression level selected.
func WithAllLitEntropyCompression(b bool) EOption {
return func(o *encoderOptions) error {
o.customALEntropy = true
o.allLitEntropy = b
return nil
}
}
// WithNoEntropyCompression will always skip entropy compression of literals.
// This can be useful if content has matches, but unlikely to benefit from entropy
// compression. Usually the slight speed improvement is not worth enabling this.

2
vendor/github.com/klauspost/compress/zstd/snappy.go generated vendored
View File

@@ -178,7 +178,7 @@ func (r *SnappyConverter) Convert(in io.Reader, w io.Writer) (int64, error) {
r.err = ErrSnappyCorrupt
return written, r.err
}
err = r.block.encode(false)
err = r.block.encode(false, false)
switch err {
case errIncompressible:
r.block.popOffsets()