perf(py): datasets and groups keep their address; groups their links

Every ds[...] and g[k] resolved the path from the root again, two or three times per open, and resolving a name in a large group scans its links: visiting a group was O(n^2). 4000 scalar datasets in one group took 39 s (v1 group) and 131 s (dense) to list, read and re-read; now 0.3 s each. A Dataset keeps its object address, a Group (and the file's root) its address and, after the first lookup, its link table. New facade API File::dataset_at(address), tested in integration_tests. Co-Authored-By: Claude Opus 5.5 (1M context) <[email protected]>
2026-09-26 09:01:54 -05:00
parent b43bd2e67f
commit f0ecae38b6
9 changed files with 349 additions and 163 deletions
@@ -34,9 +34,10 @@ pub struct PyAttrs {
 }

 impl PyAttrs {
-    /// The attributes of the object at `path` in a file opened for reading.
-    pub(crate) fn read(file: Arc<clawhdf5_rs::File>, path: &str) -> PyResult<Self> {
-        let attrs = node::attributes(&file, path)?;
+    /// The attributes of the object at `addr` (whose path is `path`) in a
+    /// file opened for reading.
+    pub(crate) fn read(file: Arc<clawhdf5_rs::File>, addr: u64, path: &str) -> PyResult<Self> {
+        let attrs = node::attributes(&file, addr, path)?;
        Ok(Self {
            inner: AttrsInner::Read { file, attrs },
        })