fix(py): a panic in the library raises clawhdf5.InternalError, not PanicException
PanicException derives from BaseException, so `except Exception` let a library bug through. Every call from the bindings into the library now runs under catch_unwind and a panic becomes InternalError (RuntimeError) naming the object. Tests: a hidden hook panics inside the guard; and the v4 chunk indexes are compared with h5py from Python — with the library fix reverted, ds[0:30] of the implicit-index dataset now raises InternalError instead of aborting the test run. Co-Authored-By: Claude Opus 5.5 (1M context) <[email protected]>
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@@ -191,46 +191,48 @@ fn attr_to_py<'py>(
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file: &clawhdf5_rs::File,
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attr: &AttributeMessage,
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) -> PyResult<Bound<'py, PyAny>> {
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let sb = file.superblock();
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let conv = Converter::new(py, &attr.datatype, sb.offset_size)
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.map_err(|e| prefix_err(py, &attr.name, e))?;
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if node::is_null(&attr.dataspace) {
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return Ok(PyEmpty::new(conv.dtype).into_pyobject(py)?.into_any());
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}
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let shape: Vec<usize> = attr
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.dataspace
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.dimensions
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.iter()
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.map(|&d| d as usize)
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.collect();
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let n: usize = shape.iter().product();
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let data = if conv.is_vl() {
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let want = n * conv.elem_size;
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if attr.raw_data.len() < want {
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return Err(PyValueError::new_err(format!(
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"attribute {}: {} bytes of variable-length references, expected {want}",
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attr.name,
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attr.raw_data.len(),
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)));
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crate::no_panic(|| {
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let sb = file.superblock();
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let conv = Converter::new(py, &attr.datatype, sb.offset_size)
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.map_err(|e| prefix_err(py, &attr.name, e))?;
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if node::is_null(&attr.dataspace) {
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return Ok(PyEmpty::new(conv.dtype).into_pyobject(py)?.into_any());
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}
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let raw = &attr.raw_data[..want];
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let file_data = file.as_bytes();
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let (osz, lsz, unit) = (sb.offset_size, sb.length_size, conv.vl_unit);
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Elements::Vl(
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py.detach(|| resolve_vl(file_data, raw, n, osz, lsz, unit))
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.map_err(|e| PyValueError::new_err(format!("attribute {}: {e}", attr.name)))?,
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)
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} else {
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Elements::Bytes(attr.raw_data.clone())
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};
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let arr = conv
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.to_array(py, data, &shape, true)
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.map_err(|e| prefix_err(py, &attr.name, e))?;
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if shape.is_empty() {
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// A scalar dataspace: h5py returns the element itself.
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return arr.get_item(PyTuple::empty(py));
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}
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Ok(arr)
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let shape: Vec<usize> = attr
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.dataspace
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.dimensions
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.iter()
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.map(|&d| d as usize)
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.collect();
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let n: usize = shape.iter().product();
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let data = if conv.is_vl() {
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let want = n * conv.elem_size;
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if attr.raw_data.len() < want {
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return Err(PyValueError::new_err(format!(
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"attribute {}: {} bytes of variable-length references, expected {want}",
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attr.name,
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attr.raw_data.len(),
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)));
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}
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let raw = &attr.raw_data[..want];
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let file_data = file.as_bytes();
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let (osz, lsz, unit) = (sb.offset_size, sb.length_size, conv.vl_unit);
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Elements::Vl(
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py.detach(|| resolve_vl(file_data, raw, n, osz, lsz, unit))
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.map_err(|e| PyValueError::new_err(format!("attribute {}: {e}", attr.name)))?,
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)
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} else {
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Elements::Bytes(attr.raw_data.clone())
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};
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let arr = conv
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.to_array(py, data, &shape, true)
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.map_err(|e| prefix_err(py, &attr.name, e))?;
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if shape.is_empty() {
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// A scalar dataspace: h5py returns the element itself.
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return arr.get_item(PyTuple::empty(py));
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}
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Ok(arr)
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})
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}
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fn prefix_err(py: Python<'_>, name: &str, e: PyErr) -> PyErr {
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