Fix silent wrong data and libhdf5 interop found by the HDF5 audit #11
@@ -179,6 +179,31 @@
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`float16` rounding matches numpy's bit for bit on 4 020 probe values,
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`float16` rounding matches numpy's bit for bit on 4 020 probe values,
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including ties, subnormals and the overflow boundary), and an agent store —
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including ties, subnormals and the overflow boundary), and an agent store —
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`f32` and `float16` — opened by h5py with every dataset decoded.
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`f32` and `float16` — opened by h5py with every dataset decoded.
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- `clawhdf5-format` filters, checked against libhdf5 + hdf5plugin:
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- **LZ4 (32004) now uses the registered HDF5 LZ4 format** (8-byte BE size,
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4-byte BE block size, BE-length-prefixed blocks). Our old framing (4-byte
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LE size + one block) was readable only by clawhdf5, and we could not read
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libhdf5's (`h5ex_d_lz4.h5`). Old clawhdf5 LZ4 chunks still read; they are
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told apart unambiguously (a registered chunk starts with four zero bytes).
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- **Zstd (32015) frames now record the content size**, which libhdf5's zstd
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plugin needs; h5py could not read our zstd datasets.
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- **Pcodec moved from filter ID 32023 to 480.** 32023 is registered to
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Granular BitRound, whose decode is a pass-through — libhdf5 with that
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plugin would have returned compressed bytes as data. Pcodec has no
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registered ID; 480 is in the registry's private range (256–511) and only
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clawhdf5 can read it. Chunks written under 32023 with the filter name
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`pcodec` (clawhdf5 ≤ 2.7.0) still read.
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- **SZIP decode matches libhdf5.** It returned garbage or zeros with no
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error for libhdf5-written files (the 4-byte size prefix, 32/64-bit
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byte-plane interleaving, reference interval, scanline padding and byte
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order were all handled wrongly) and rejected 64-bit data.
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- N-Bit honours libhdf5's "need not compress" flag (multi-filter pipelines
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such as `tfilters.h5` failed) and reads enum/no-op members.
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- Scale-offset `float` decode uses libhdf5's single-precision arithmetic
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(was 1 ULP off for some values).
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- A pipeline with Fletcher32 ahead of the compressor (h5py
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`set_fletcher32()` then `set_deflate()`) no longer fails with "deflate:
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output exceeds size limit".
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### Storage
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### Storage
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- `clawhdf5-format`: **half-precision datasets.**
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- `clawhdf5-format`: **half-precision datasets.**
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