68 lines
2.3 KiB
TOML
68 lines
2.3 KiB
TOML
[package]
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name = "clawhdf5"
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version = "2.7.0"
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edition = "2024"
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rust-version.workspace = true
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description = "Pure-Rust HDF5 reader/writer — no C dependencies"
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license = "MIT"
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repository = "https://git.redclaw.dev/quantumclaw/clawhdf5"
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readme = "README.md"
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keywords = ["hdf5", "science", "data", "binary"]
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categories = ["parser-implementations", "science", "encoding"]
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[dependencies]
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clawhdf5-format = { path = "../clawhdf5-format", version = "2.7.0" }
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clawhdf5-io = { path = "../clawhdf5-io", version = "2.7.0" }
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rayon = { version = "1", optional = true }
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[dev-dependencies]
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tempfile = { workspace = true }
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criterion = { workspace = true }
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clawhdf5-io = { path = "../clawhdf5-io", version = "2.7.0", features = ["mmap"] }
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clawhdf5-format = { path = "../clawhdf5-format", version = "2.7.0", features = ["parallel", "fast-checksum", "lookup-stats"] }
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serde_json = "1"
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clawhdf5-filters = { path = "../clawhdf5-filters", version = "2.7.0" }
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[[bench]]
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name = "mmap_bench"
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harness = false
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[[bench]]
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name = "parallel_bench"
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harness = false
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[[bench]]
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name = "local_metadata_bench"
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harness = false
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[features]
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default = ["mmap", "provenance", "lzf"]
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mmap = ["clawhdf5-io/mmap"]
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parallel = ["clawhdf5-format/parallel", "rayon"]
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# zlib-ng (C, needs cmake) instead of the default pure-Rust zlib-rs.
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fast-deflate = ["clawhdf5-format/fast-deflate"]
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apple-compression = []
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zstd = ["clawhdf5-format/zstd"]
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blake3_hash = ["clawhdf5-format/blake3_hash"]
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lz4 = ["clawhdf5-format/lz4"]
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pcodec = ["clawhdf5-format/pcodec"]
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# Plugin filters, pure Rust (no C). LZF (32000) is h5py's built-in
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# compression; it has no dependencies, so it is on by default.
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lzf = ["clawhdf5-format/lzf"]
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bitshuffle = ["clawhdf5-format/bitshuffle"]
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bzip2 = ["clawhdf5-format/bzip2"]
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blosc = ["clawhdf5-format/blosc"]
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blosc2 = ["clawhdf5-format/blosc2"]
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# ZFP (32013), read-only.
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zfp = ["clawhdf5-format/zfp"]
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# Every plugin filter.
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plugin-filters = ["lzf", "bitshuffle", "bzip2", "blosc", "blosc2", "zfp"]
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# Dataset::verify_provenance() — recompute a dataset's SHA-256 and compare
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# against its stored _provenance_sha256 attribute. On by default, matching
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# clawhdf5-format's own default-on `provenance` feature.
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provenance = ["clawhdf5-format/provenance"]
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[package.metadata.docs.rs]
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features = ["mmap"]
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targets = ["x86_64-unknown-linux-gnu"]
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