Add a pure-Dart zstd decoder, as a benchmark
A feasibility spike, standalone so it can move to its own repository. Not
wired into the app and not a dependency of it.
Decompression only, and only what our containers need: no dictionaries, no
multi-frame, no streaming, and the content checksum is parsed but never
verified. Native only, since the bit reader carries 56 bits in an int.
It is correct on real data. The committed fixture decodes to the samples
the generator wrote, and tool/oracle.py drives a byte-for-byte comparison
against pyzstd over 32 containers and 2,615 blocks from both tiers, every
thinned column count from 3601 to 361, and 88 S to 80 N. All identical.
The numbers, AOT on this box, 131,072 bytes a block: 0.66 ms median
against pyzstd's 0.175, so about 200 MB/s against 750. Across three tiles
the range is 0.66 to 0.94 ms, and a 113 block sweep is 67 to 105 ms. The
cost is the sequence loop and nothing else: a terrain block at level 19
carries around 1,700 literals and 14,400 sequences, so optimising the
literal path bought nothing.
2026-09-21 21:37:56 -06:00
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# pure_zstd
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A zstd decompressor in plain Dart, with no native dependency.
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It exists because every zstd binding on pub.dev is a wrapper over libzstd, and
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an app that reads block-compressed elevation tiles on a phone would rather not
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carry a native library per platform to do it. Decompression only. There is no
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compressor and there is no plan for one.
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This is a feasibility spike, not a finished library. It decodes the real data
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it was written for, correctly and completely, and it is roughly four times
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slower than native zstd. See **Speed** below before depending on it.
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## Using it
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```dart
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import 'package:pure_zstd/pure_zstd.dart';
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final plain = zstdDecode(frame);
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// Decoding many frames: hold the decoder, which keeps its entropy tables and
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// scratch buffers between calls and then allocates only the output.
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final decoder = ZstdDecoder();
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for (final frame in frames) {
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use(decoder.decode(frame));
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}
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```
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A frame that declares no content size needs `expectedSize`, because the
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output is allocated whole rather than grown.
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## What it implements
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RFC 8878 is the specification. Of it:
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| Part of the format | State |
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| --- | --- |
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| Frame header, single segment and windowed | Decoded. The window descriptor is skipped, since the output is allocated from the content size. |
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| Raw, RLE and compressed blocks | All three. |
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| Multi-block frames | Yes, including a later block reusing an earlier one's tables and recent offsets. |
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| Raw, RLE, compressed and treeless literals | All four, in one-stream and four-stream form. |
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| Huffman weights | Both the direct nibble form and the FSE-coded form. |
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| Sequence tables | Predefined, RLE, FSE-compressed and repeat, for all three of literal length, match length and offset. |
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| Repeated offsets | Yes, including the no-literals shift. |
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2026-09-21 23:12:46 -06:00
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| Content checksum | Verified. XXH64 over the output, compared with the stored low 32 bits. Hashed only when the frame carries one. |
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Add a pure-Dart zstd decoder, as a benchmark
A feasibility spike, standalone so it can move to its own repository. Not
wired into the app and not a dependency of it.
Decompression only, and only what our containers need: no dictionaries, no
multi-frame, no streaming, and the content checksum is parsed but never
verified. Native only, since the bit reader carries 56 bits in an int.
It is correct on real data. The committed fixture decodes to the samples
the generator wrote, and tool/oracle.py drives a byte-for-byte comparison
against pyzstd over 32 containers and 2,615 blocks from both tiers, every
thinned column count from 3601 to 361, and 88 S to 80 N. All identical.
The numbers, AOT on this box, 131,072 bytes a block: 0.66 ms median
against pyzstd's 0.175, so about 200 MB/s against 750. Across three tiles
the range is 0.66 to 0.94 ms, and a 113 block sweep is 67 to 105 ms. The
cost is the sequence loop and nothing else: a terrain block at level 19
carries around 1,700 literals and 14,400 sequences, so optimising the
literal path bought nothing.
2026-09-21 21:37:56 -06:00
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| Dictionaries | Refused. |
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2026-09-21 23:09:56 -06:00
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| Skippable frames, several frames in one buffer | Refused. Reading one frame is the whole API, and input left over after it is an error. |
|
Add a pure-Dart zstd decoder, as a benchmark
A feasibility spike, standalone so it can move to its own repository. Not
wired into the app and not a dependency of it.
Decompression only, and only what our containers need: no dictionaries, no
multi-frame, no streaming, and the content checksum is parsed but never
verified. Native only, since the bit reader carries 56 bits in an int.
It is correct on real data. The committed fixture decodes to the samples
the generator wrote, and tool/oracle.py drives a byte-for-byte comparison
against pyzstd over 32 containers and 2,615 blocks from both tiers, every
thinned column count from 3601 to 361, and 88 S to 80 N. All identical.
The numbers, AOT on this box, 131,072 bytes a block: 0.66 ms median
against pyzstd's 0.175, so about 200 MB/s against 750. Across three tiles
the range is 0.66 to 0.94 ms, and a 113 block sweep is 67 to 105 ms. The
cost is the sequence loop and nothing else: a terrain block at level 19
carries around 1,700 literals and 14,400 sequences, so optimising the
literal path bought nothing.
2026-09-21 21:37:56 -06:00
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| Streaming, or decoding part of a frame | Not offered. |
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It targets native Dart and not the web: the literals header reads a five-byte
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field with a 32-bit shift, and the bit reader carries 56 bits in an `int`.
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Both are exact on the VM and on AOT, and neither is on JavaScript.
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2026-09-21 23:12:46 -06:00
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## Defects found and closed, 2026-09-21
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2026-09-21 23:01:56 -06:00
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2026-09-21 23:12:46 -06:00
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Two audits, each finding with a reproducer. All five are fixed.
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2026-09-21 23:01:56 -06:00
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2026-09-21 23:12:46 -06:00
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One decision is still open, and it is not a defect in this package:
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`hgtz.py` writes no checksum, so nothing in a `.hgtz` is covered by
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the verification below. Making it write one costs four bytes a block and a
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re-transcode of every tile. It is narrower than it sounds, because
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the downloader verifies a SHA-256 over the whole container before it keeps the
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download, so only corruption at rest on the phone is uncovered.
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2026-09-21 23:09:56 -06:00
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1. **`Frame_Content_Size` sized the output allocation with no ceiling.** A
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2026-09-21 23:01:56 -06:00
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16-byte frame can ask for 4 EiB. One bit flipped in the frame descriptor of a
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real tile gives `RangeError` or `OutOfMemoryError`, and neither is catchable
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as `ZstdException`, so the isolate dies. This is what the skipped
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`Window_Descriptor` was for: RFC 8878 §3.1.1.1.2 allows a decoder to refuse a
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frame asking for more memory than it will give. Require the declared size to
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be under a stated ceiling, and have the `.hgtz` reader pass the exact
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2026-09-21 23:09:56 -06:00
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`height * width * 2` it expects. `ZstdDecoder` now takes a `maxOutputSize`,
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64 MiB by default, and a caller passing `expectedSize` gets an exact check
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against the frame's own figure instead.
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2. **`fseDecodeInterleaved` wrote three symbols in a pass that checked room for
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two**, so a crafted Huffman weight stream indexed `_weights[256]`. The
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reproducer is 53 bytes, and random mutation of a real tile found it
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independently.
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3. **Several frames in one buffer decoded to the first and returned silently.**
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Nothing compared the cursor with the input length, so a second frame, a
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trailing skippable frame and four bytes of junk were all accepted and
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ignored. A frame claiming a checksum could also supply none, because the four
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bytes were stepped over rather than read.
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4. **RLE blocks skipped the block-size ceiling**, so 97 bytes of input returned
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44 MB of output that a caller cannot tell from a good tile.
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2026-09-21 23:12:46 -06:00
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5. **The content checksum was parsed and never verified.** Over 600,000
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mutations of real block data, 34% decoded into wrong bytes with no error
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raised, because a damaged match or literal length usually still produces
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plausible output of the right length. Every other guard catches a frame that
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cannot be parsed; this is the only one that catches a frame that parses and
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is wrong.
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2026-09-21 23:01:56 -06:00
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Over-permissive against libzstd, with no wrong output, so lower priority: a
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compressed block over `blockSizeMax` is accepted, the Huffman weight table is
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read with `maxSymbol` 255 where libzstd uses 12, and `Regenerated_Size` is
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capped at a flat 128 KiB rather than `min(Window_Size, 128 KiB)`.
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Add a pure-Dart zstd decoder, as a benchmark
A feasibility spike, standalone so it can move to its own repository. Not
wired into the app and not a dependency of it.
Decompression only, and only what our containers need: no dictionaries, no
multi-frame, no streaming, and the content checksum is parsed but never
verified. Native only, since the bit reader carries 56 bits in an int.
It is correct on real data. The committed fixture decodes to the samples
the generator wrote, and tool/oracle.py drives a byte-for-byte comparison
against pyzstd over 32 containers and 2,615 blocks from both tiers, every
thinned column count from 3601 to 361, and 88 S to 80 N. All identical.
The numbers, AOT on this box, 131,072 bytes a block: 0.66 ms median
against pyzstd's 0.175, so about 200 MB/s against 750. Across three tiles
the range is 0.66 to 0.94 ms, and a 113 block sweep is 67 to 105 ms. The
cost is the sequence loop and nothing else: a terrain block at level 19
carries around 1,700 literals and 14,400 sequences, so optimising the
literal path bought nothing.
2026-09-21 21:37:56 -06:00
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## Correctness
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The reference is pyzstd, which wraps libzstd. `tool/oracle.py` extracts every
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block of a `.hgtz` container as its own frame, decompresses it with pyzstd,
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hands it to `tool/verify.dart`, and compares byte for byte.
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./tool/oracle.py path/to/srtm1z/N39W105.hgtz
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./tool/oracle.py --every 1700 path/to/srtm1z path/to/srtm3z
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As of 2026-09-21 that is 32 real containers, 2,615 blocks and 0.3 GB of
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output, all identical, spanning both the one and three arc-second sets, every
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thinned column count from 3601 down to 361, and latitudes from 88 S to 80 N.
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`dart test` needs no Python. It decodes the five blocks of the container in
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`test/fixtures/`, whose every sample is a known function of its position, so a
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wrong decode cannot pass.
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## Speed
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Measured 2026-09-21 on this eight-core Linux box, `dart compile exe`, Dart
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3.12.2. One 256 by 256 block is 131,072 bytes out. The frames are read into
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memory first, so only decoding is timed, and the figure includes allocating
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the output buffer because the API allocates it.
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| Block set | pure_zstd, AOT | pyzstd (libzstd) |
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| --- | --- | --- |
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| Colorado, `N39W105`, 196 blocks, median | **0.66 ms** | 0.18 ms |
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| Alaska, `N60W160`, 98 blocks, median | 0.94 ms | not measured |
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| One block, repeated 1000 times | 0.85 ms | 0.22 ms |
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| 113 blocks, a 360 degree sweep | 67 ms | 19 ms |
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That is 140 to 200 MB/s of output. The JIT is about 25% slower than AOT, so
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measure with `dart compile exe`.
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The cost is almost all in the sequence loop rather than in Huffman literals.
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A block of real terrain carries around 1,700 literals and 14,400 sequences,
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so the hot path is three FSE state updates, six bit reads and a nine-byte
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match copy, about 46 ns per sequence against native's dozen or so. The
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headroom left is bounds checks and the byte-at-a-time match copy; widening
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that copy to 64-bit words, the way libzstd does, is the next thing to try.
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Run it yourself:
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dart compile exe benchmark/bench.dart -o /tmp/bench && /tmp/bench
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## Licence
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Not chosen yet.
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2026-09-21 21:53:21 -06:00
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## Measured on the target device, 2026-09-21
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Sixteen real 256x256 blocks lifted out of `path/to/srtm1z/N39W105.hgtz`,
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131,072 bytes of output each, the same blocks in every row so the numbers are
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comparable. Median of 960 timed calls after 320 warm-up calls.
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| where | mode | median | MB/s | 113-block sweep |
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| --- | --- | --- | --- | --- |
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| Pixel 10 Pro XL | **profile, AOT** | **0.414 ms** | 302 | **47 ms** |
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| Pixel 10 Pro XL | debug, JIT | 0.540 ms | 231 | 61 ms |
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| this laptop | AOT | 0.917 ms | 136 | 104 ms |
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| this laptop | JIT | 1.125 ms | 111 | 127 ms |
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The phone is about twice as fast as the laptop at this, which is why the
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desktop figures in the commit message read worse than reality.
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Native, for scale: pyzstd on the laptop is 0.175 ms on comparable blocks. That
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is a Python C extension rather than Dart FFI, so take it as an indication. No
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native-on-phone figure was taken.
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Do not benchmark against `test/fixtures/N51E000.hgtz`. Its samples are a
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synthetic pattern that compresses to almost no sequences, and decode cost
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tracks sequence count, so it reads about six times too fast. That mistake was
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made once already.
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