ClawHDF5 Coding Agent
5db1008eb7
verify_dataset existed and was tested, but was only ever called from clawhdf5-format's own test files — no reader path in clawhdf5-io or the clawhdf5 facade called it, so a corrupted dataset was silently readable even though the write-side SHA-256 hash machinery (gated on the provenance feature) had already written what it needed to detect that. Add Dataset::verify_provenance() to the clawhdf5 facade, gated behind a new `provenance` feature (on by default, forwarding to clawhdf5-format/provenance which is already default-on). It surfaces a typed VerifyResult (Ok/Mismatch/NoHash) via the existing Error type rather than panicking. Deliberately NOT called automatically on open()/dataset() — it decodes and hashes the entire dataset, which would regress every read path (including the zero-copy/mmap ones) if run unconditionally; callers opt in per dataset where the cost is acceptable (e.g. a periodic integrity sweep). Also re-export clawhdf5_format::provenance from the facade crate so VerifyResult is reachable without depending on clawhdf5-format directly. INT-08
50 lines
1.6 KiB
TOML
50 lines
1.6 KiB
TOML
[package]
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name = "clawhdf5"
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version = "2.1.0"
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edition = "2024"
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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://github.com/redclawsystems/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 = "2.1.0" }
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clawhdf5-io = { path = "../clawhdf5-io", version = "2.1.0" }
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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 = "2.1.0", features = ["mmap"] }
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clawhdf5-format = { path = "../clawhdf5-format", version = "2.1.0", features = ["parallel", "fast-checksum"] }
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clawhdf5-filters = { path = "../clawhdf5-filters", version = "2.1.0" }
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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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[features]
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default = ["mmap", "fast-deflate", "provenance"]
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mmap = ["clawhdf5-io/mmap"]
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parallel = ["clawhdf5-format/parallel", "rayon"]
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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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# 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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