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Jungfraujoch/compression/JFJochCompressor.h
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v1.0.0-rc.156 (#66)
This is an UNSTABLE release. It includes many experimental features, as well as many AI generated fixes. We recommend using rc.152 for production use.

* jfjoch_process: Major rotation (rot3d) data processing overhaul - robust profile-fit integration, Cauchy-loss scaling with optional absorption surface, de-novo indexing and space-group/centering determination fixes, and merging statistics + ISa in the mmCIF output.
* jfjoch_process: Add EXPERIMENTAL ice-ring detection (--detect-ice-rings) that excludes ice reflections from scaling.
* Compression: Add BSHUF_ZSTD_RLE_HUFF, make compression size-aware (drop frames that don't fit rather than aborting), and add the jfjoch_recompress tool.
* jfjoch_viewer: Report "Multiple lattices detected" and grey out "Analyze dataset" on a live connection.
* jfjoch_broker: Write smargon chi/phi goniometer positions to NXmx; read sensor thickness/material from HDF5 metadata.
* CI: Build Windows (CUDA and non-CUDA) installers.Reviewed-on: #66

Co-authored-by: Filip Leonarski <filip.leonarski@psi.ch>
2026-07-03 19:18:56 +02:00

60 lines
2.5 KiB
C++

// SPDX-FileCopyrightText: 2024 Filip Leonarski, Paul Scherrer Institute <filip.leonarski@psi.ch>
// SPDX-License-Identifier: GPL-3.0-only
#pragma once
#include <bitshuffle/bitshuffle.h>
#include <vector>
#include <cstdint>
#include <cstddef>
#include "CompressionAlgorithmEnum.h"
#include "MaxCompressedSize.h"
#include "JFJochZstdCompressor.h"
#include "JFJochZstdHuffCompressor.h"
class JFJochBitShuffleCompressor {
JFJochZstdCompressor zstd_compressor;
JFJochZstdHuffCompressor huff_compressor;
CompressionAlgorithm algorithm;
std::vector<char> tmp_space;
std::vector<char> scratch;
size_t CompressBlock(char *dest, const char * source, size_t nelements, size_t elem_size);
public:
// The bitshuffle block size is chosen as a byte target rather than a fixed element count, so
// the per-block working set - and thus the cache behaviour - stays constant across pixel bit
// depths. The target is per-algorithm: LZ4 favours a small, cache-resident block (throughput),
// ZSTD/RLE a large block (ratio). The element block size scales inversely with elem_size,
// which is always a power of two here, so the result is a power of two >= 8 (a valid bitshuffle
// block, multiple of 8). E.g. ZSTD 128 kB -> 65536 elem at 16-bit, 32768 at 32-bit.
constexpr static size_t DefaultBlockSizeBytes(CompressionAlgorithm algorithm) {
return algorithm == CompressionAlgorithm::BSHUF_LZ4 ? 16384 : 131072;
}
constexpr static size_t BlockSize(CompressionAlgorithm algorithm, size_t elem_size) {
return DefaultBlockSizeBytes(algorithm) / elem_size;
}
explicit JFJochBitShuffleCompressor(CompressionAlgorithm algorithm);
template<class T>
size_t Compress(void *dest, size_t dest_size, const std::vector<T> &src) {
return Compress(dest, dest_size, src.data(), src.size(), sizeof(T));
};
template<class T>
std::vector<uint8_t> Compress(const std::vector<T> &src) {
return Compress(src.data(), src.size(), sizeof(T));
}
std::vector<uint8_t> Compress(const void* source, size_t nelements, size_t elem_size);
// Throws CompressionBufferTooSmallException if the compressed output would not fit dest_size.
size_t Compress(void *dest, size_t dest_size, const void* source, size_t nelements, size_t elem_size);
};
template <class T> std::vector<T> bitshuffle(const std::vector<T> &input, size_t block_size) {
std::vector<T> ret(input.size());
bshuf_bitshuffle(input.data(), ret.data(), input.size(), sizeof(T), block_size);
return ret;
}