fix(format): parse HDF5 2.0 native complex datatypes (class 11)

Class 11 (datatype version 5) properties are a single base floating-point
datatype message, not a compound-style member list. The old parser read the
base type's bytes as member names, yielding a garbage datatype, and failed
with UnexpectedEof when a complex type was nested in a compound.

Parse the base type and surface the type as the equivalent {r, i} compound
(the shape h5py writes for numpy complex dtypes), with a size check against
the base type. Covered by byte-level tests taken from HDF5 2.0 output and an
h5py end-to-end test (writer_h5py_tests is now 27/27 against HDF5 2.0.0).

Found while validating a user report of InvalidDatatypeVersion
{ class: 6, version: 5 } against v2.1.0 (already fixed on main in a13ff51,
never released). Add docs/known-issues.md recording that report, this bug,
the open reference-v4 gap and a gpu_tests parallel-run hang; credit the
reporter in the changelog.

Co-Authored-By: Claude Fable 5.1 <[email protected]>
This commit is contained in:
osobh
2026-09-18 20:58:29 -07:00
co-authored by Claude Fable 5.1
parent 48c745a960
commit b55b7dbac5
4 changed files with 260 additions and 19 deletions
+10
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@@ -245,6 +245,16 @@
reading compound types and — critically — every chunked/compressed dataset reading compound types and — critically — every chunked/compressed dataset
written by HDF5 2.0. Found by running the h5py interop tests against written by HDF5 2.0. Found by running the h5py interop tests against
h5py 3.16 / HDF5 2.0. h5py 3.16 / HDF5 2.0.
Independently reported (with a patch) against the v2.1.0 tag by
M. Scot Breitenfeld (The HDF Group) — v2.1.0 predates this fix.
- `clawhdf5-format`: parse HDF5 2.0 native complex datatypes (class 11,
datatype version 5, e.g. `H5T_COMPLEX_IEEE_F64LE`). The properties are a
single base floating-point datatype, not a compound-style member list; the
old parser read the base type's bytes as member names, producing a garbage
datatype, and failed with `UnexpectedEof` when a complex type was nested in
a compound. It is now surfaced as the equivalent `{r, i}` compound (the
shape h5py writes for numpy complex dtypes), with a size check against the
base type. Validated end-to-end against an HDF5 2.0-written file.
### Performance ### Performance
- `clawhdf5-format`: chunked writes now compress all chunks up front via - `clawhdf5-format`: chunked writes now compress all chunks up front via
+100 -19
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@@ -546,27 +546,39 @@ impl Datatype {
} }
} }
11 => { 11 => {
// Complex number — store as compound of two floats internally // Complex number (HDF5 2.0, datatype version 5). The properties
// Parse like compound with version 3 and 2 members // are a single base floating-point datatype message; an element
// But actually class 11 has no special properties beyond class 6 compound. // is two consecutive base-type values (real, imaginary). There
// It's just recognized as a separate class. For now parse the 2 members // is no member list. Surface it as the equivalent two-member
// as compound. // compound `{r, i}` — the same shape h5py writes for numpy
let num_members = (bf0 as u16) | ((bf1 as u16) << 8); // complex dtypes — so downstream compound readers work as-is.
let mut members = Vec::with_capacity(num_members as usize); if version != 5 {
let ob = offset_bytes_for_size(size); return Err(FormatError::InvalidDatatypeVersion {
for _ in 0..num_members { class: class_id,
let (name, name_len) = read_null_terminated_string(data, pos)?; version,
pos += name_len;
let byte_offset = read_uint(data, pos, ob)?;
pos += ob;
let (member_dt, consumed) = Self::parse_with_depth(&data[pos..], depth + 1)?;
pos += consumed;
members.push(CompoundMember {
name,
byte_offset,
datatype: member_dt,
}); });
} }
let (base_type, consumed) = Self::parse_with_depth(&data[pos..], depth + 1)?;
pos += consumed;
let base_size = base_type.type_size();
if base_size.checked_mul(2) != Some(size) {
return Err(FormatError::DataSizeMismatch {
expected: (base_size as usize).saturating_mul(2),
actual: size as usize,
});
}
let members = vec![
CompoundMember {
name: String::from("r"),
byte_offset: 0,
datatype: base_type.clone(),
},
CompoundMember {
name: String::from("i"),
byte_offset: base_size as u64,
datatype: base_type,
},
];
Ok((Datatype::Compound { size, members }, pos)) Ok((Datatype::Compound { size, members }, pos))
} }
_ => Err(FormatError::InvalidDatatypeClass(class_id)), _ => Err(FormatError::InvalidDatatypeClass(class_id)),
@@ -1126,6 +1138,75 @@ mod tests {
} }
} }
/// Real datatype message bytes emitted by HDF5 2.0 for the native complex
/// type `H5T_COMPLEX_IEEE_F64LE`: class 11, version 5, size 16, followed by
/// the base IEEE f64 datatype message.
const COMPLEX_F64_HDF5_2_0: [u8; 28] = [
0x5b, 0x01, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x11, 0x20, 0x3f, 0x00, 0x08, 0x00, 0x00,
0x00, 0x00, 0x00, 0x40, 0x00, 0x34, 0x0b, 0x00, 0x34, 0xff, 0x03, 0x00, 0x00,
];
#[test]
fn test_complex_v5_from_hdf5_2_0() {
let (dt, consumed) = Datatype::parse(&COMPLEX_F64_HDF5_2_0).unwrap();
assert_eq!(consumed, COMPLEX_F64_HDF5_2_0.len());
match dt {
Datatype::Compound { size, members } => {
assert_eq!(size, 16);
assert_eq!(members.len(), 2);
assert_eq!((members[0].name.as_str(), members[0].byte_offset), ("r", 0));
assert_eq!((members[1].name.as_str(), members[1].byte_offset), ("i", 8));
for m in &members {
assert!(matches!(
m.datatype,
Datatype::FloatingPoint { size: 8, .. }
));
}
}
other => panic!("expected Compound, got {other:?}"),
}
}
#[test]
fn test_compound_with_complex_member_from_hdf5_2_0() {
// Compound { z: complex f64 @0, k: i64 @16 } as written by HDF5 2.0.
// Regression guard: the complex member must consume exactly its own
// bytes so the following member parses.
let mut bytes = vec![0x56, 0x02, 0x00, 0x00, 0x18, 0x00, 0x00, 0x00, b'z', 0x00, 0x00];
bytes.extend_from_slice(&COMPLEX_F64_HDF5_2_0);
bytes.extend_from_slice(&[b'k', 0x00, 0x10]);
bytes.extend_from_slice(&[
0x10, 0x08, 0x00, 0x00, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x40, 0x00,
]);
let (dt, consumed) = Datatype::parse(&bytes).unwrap();
assert_eq!(consumed, bytes.len());
match dt {
Datatype::Compound { size, members } => {
assert_eq!(size, 24);
assert_eq!(members.len(), 2);
assert!(matches!(
&members[0].datatype,
Datatype::Compound { size: 16, members } if members.len() == 2
));
assert_eq!((members[1].name.as_str(), members[1].byte_offset), ("k", 16));
}
other => panic!("expected Compound, got {other:?}"),
}
}
#[test]
fn test_complex_size_mismatch_rejected() {
let mut bytes = COMPLEX_F64_HDF5_2_0;
bytes[4] = 0x0c; // claims 12 bytes, base type is 8
assert!(matches!(
Datatype::parse(&bytes),
Err(FormatError::DataSizeMismatch {
expected: 16,
actual: 12
})
));
}
#[test] #[test]
fn test_reference_object() { fn test_reference_object() {
let buf = build_dt_header(7, 1, [0, 0, 0], 8); let buf = build_dt_header(7, 1, [0, 0, 0], 8);
@@ -292,6 +292,74 @@ f.close()
assert_eq!(x_vals, vec![1.0, 3.0]); assert_eq!(x_vals, vec![1.0, 3.0]);
} }
#[test]
#[ignore = "requires Python h5py module"]
fn read_h5py_generated_native_complex() {
// HDF5 2.0 native complex (datatype class 11, version 5), written through
// h5py's low-level API. Skips when the linked HDF5 predates 2.0.
let path = std::env::temp_dir().join("clawhdf5_h5py_native_complex.h5");
let gen_script = format!(
r#"
import h5py, numpy as np
from h5py import h5t, h5s, h5d, h5f, h5p
if not getattr(h5py.get_config(), 'has_native_complex', False):
print('SKIP')
else:
fapl = h5p.create(h5p.FILE_ACCESS)
fapl.set_libver_bounds(h5f.LIBVER_LATEST, h5f.LIBVER_LATEST)
fid = h5f.create(b'{}', h5f.ACC_TRUNC, fapl=fapl)
t = h5t.COMPLEX_IEEE_F64LE
d = h5d.create(fid, b'z', t, h5s.create_simple((2,)))
d.write(h5s.ALL, h5s.ALL, np.array([1+2j, 3+4j], dtype=np.complex128), mtype=t)
fid.close()
"#,
path.display()
);
if h5py_read(&path, &gen_script) == "SKIP" {
eprintln!("HDF5 < 2.0: no native complex support, skipping");
return;
}
let bytes = std::fs::read(&path).unwrap();
let sig = clawhdf5_format::signature::find_signature(&bytes).unwrap();
let sb = clawhdf5_format::superblock::Superblock::parse(&bytes, sig).unwrap();
let addr = clawhdf5_format::group_v2::resolve_path_any(&bytes, &sb, "z").unwrap();
let hdr = clawhdf5_format::object_header::ObjectHeader::parse(
&bytes,
addr as usize,
sb.offset_size,
sb.length_size,
)
.unwrap();
let msg = |t: clawhdf5_format::message_type::MessageType| {
&hdr.messages.iter().find(|m| m.msg_type == t).unwrap().data
};
let (dt, _) = clawhdf5_format::datatype::Datatype::parse(msg(
clawhdf5_format::message_type::MessageType::Datatype,
))
.unwrap();
let ds = clawhdf5_format::dataspace::Dataspace::parse(
msg(clawhdf5_format::message_type::MessageType::Dataspace),
sb.length_size,
)
.unwrap();
let dl = clawhdf5_format::data_layout::DataLayout::parse(
msg(clawhdf5_format::message_type::MessageType::DataLayout),
sb.offset_size,
sb.length_size,
)
.unwrap();
let raw = clawhdf5_format::data_read::read_raw_data(&bytes, &dl, &ds, &dt).unwrap();
let fields = clawhdf5_format::data_read::read_compound_fields(&raw, &dt).unwrap();
assert_eq!(fields.len(), 2);
let re =
clawhdf5_format::data_read::read_as_f64(&fields[0].raw_data, &fields[0].datatype).unwrap();
let im =
clawhdf5_format::data_read::read_as_f64(&fields[1].raw_data, &fields[1].datatype).unwrap();
assert_eq!((fields[0].name.as_str(), re), ("r", vec![1.0, 3.0]));
assert_eq!((fields[1].name.as_str(), im), ("i", vec![2.0, 4.0]));
}
#[test] #[test]
#[ignore = "requires Python h5py module"] #[ignore = "requires Python h5py module"]
fn read_h5py_generated_enum() { fn read_h5py_generated_enum() {
+82
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@@ -0,0 +1,82 @@
# Known Issues
Bugs found during development or downstream use, tracked here because this
repository's issue tracker is disabled. One entry per bug; when an entry is
fixed, record the fix in `CHANGELOG.md` and update its status here rather than
deleting it.
---
## Compound datatype message version 5 is not parsed (HDF5 2.0)
**Status:** fixed on `main` in `a13ff51` (2026-06-03); **not in the v2.1.0
tag**, which was cut five commits earlier. Ships in the next release.
**Reported by:** M. Scot Breitenfeld (The HDF Group), 2026-09-08, against v2.1.0.
**Summary:** `clawhdf5-format` v2.1.0 rejects any dataset with a compound
(struct) datatype written by an HDF5 2.0 library in `libver='latest'` mode:
`InvalidDatatypeVersion { class: 6, version: 5 }`.
**Reproduction** (h5py 3.16.0 / HDF5 2.0.0):
```python
import h5py, numpy as np
dt = np.dtype([('x', 'f8'), ('y', 'f8'), ('id', 'i4')])
data = np.array([(1.0, 2.0, 10), (3.0, 4.0, 20)], dtype=dt)
f = h5py.File('compound.h5', 'w', libver='latest')
f.create_dataset('particles', data=data)
f.close()
```
Committed as `crates/clawhdf5-format/tests/writer_h5py_tests.rs::read_h5py_generated_compound`
(`#[ignore]`d; needs `python3` with h5py on `PATH`). Run with
`cargo test -p clawhdf5-format --test writer_h5py_tests -- --include-ignored`:
v2.1.0 gives 25 passed / 1 failed; `main` passes everything.
**Root cause:** the compound (class 6) branch of `Datatype::parse`
(`crates/clawhdf5-format/src/datatype.rs`) accepted only versions 14. Datatype
message versions 4 and 5 changed only the Reference and Complex classes, so a
v5-tagged compound uses the unchanged v3 member-list layout.
**Fix:** versions 35 are accepted for compound (class 6) and array (class 10)
datatypes, and data layout message version 5 is accepted too (needed for every
chunked dataset written by HDF5 2.0). Byte-level regression tests:
`test_compound_v5_from_hdf5_2_0`, `test_array_v5_from_hdf5_2_0`.
## Native complex datatype (class 11) is mis-parsed (HDF5 2.0)
**Status:** fixed 2026-09-18. Found while validating the report above.
**Summary:** HDF5 2.0 native complex types (`H5T_COMPLEX_IEEE_F64LE` etc.)
were parsed as if they carried a compound-style member list. The properties are
actually a single base floating-point datatype, so the parser produced a garbage
datatype, or `UnexpectedEof` when the complex type was a compound member. h5py's
default numpy-complex mapping is unaffected (it writes a `{r, i}` compound);
only files using the native type through the C API / h5py low-level API hit this.
**Fix:** class 11 parses its base type and is surfaced as the equivalent
`{r, i}` compound. Tests: `test_complex_v5_from_hdf5_2_0`,
`test_compound_with_complex_member_from_hdf5_2_0`,
`writer_h5py_tests.rs::read_h5py_generated_native_complex`.
## Revised reference datatype (class 7, version 4) is not parsed
**Status:** open, unconfirmed against a real file.
**Summary:** HDF5 1.12+ `H5T_STD_REF` references use datatype version 4 with
reference types 24 (object2 / region2 / attribute), which `Datatype::parse`
rejects with `InvalidReferenceType`. h5py still writes the legacy v1
object/region references, which read correctly, so no reproducing file has been
generated yet; one written with the C API (`H5T_STD_REF`) is needed.
## `clawhdf5-gpu` `gpu_tests` can hang under the default parallel test runner
**Status:** open. Observed 2026-09-18 (RTX 5060 Ti, Linux).
**Summary:** during `cargo test --workspace`, the `gpu_tests` binary sat idle
(~1% CPU) for 25+ minutes and had to be killed. Run single-threaded it passes
in seconds (20/20): `cargo test -p clawhdf5-gpu --test gpu_tests -- --test-threads=1`.
Suspected cause: several tests creating wgpu devices concurrently (possibly
compounded by the rest of the workspace's tests loading the machine). Not yet
root-caused; workaround is `--test-threads=1` for that crate.