It was passing `IFC4X3` directly to `schema_by_name` which is expecting
schema identifier (e.g. IFC4X3_ADD2, not IFC4X3 allowed by `IFC_SCHEMA`
- IFC4X3 is one of the IFC4X3 iterations while it was in development,
not the final one).
Noticed by tests failing:
FAILED
test/util/test_schema.py::TestGeometryClassesIntroducedAfter::test_ifc4x3_to_ifc2x3_is_superset_of_ifc4_to_ifc2x3
- RuntimeError: No schema named IFC4X3
FAILED
test/util/test_schema.py::TestGeometryClassesIntroducedAfter::test_ifc4_to_ifc4x3_is_empty
- RuntimeError: No schema named IFC4X3
AST parser has changed a bit and there are some minor differences in the
.py output. Updating files just to avoid seeing these diffs when
rerunning rule compiler.
Example error:
```
ast.Str(s=node.attr),
^^^^^^^
AttributeError: module 'ast' has no attribute 'Str'
```
`ast.Str` was deprecated since 3.8 and was removed in 3.14, see
https://docs.python.org/3/whatsnew/3.14.html#id9
Follow-up to the scalar-only fix in #8754, per aothms's direct request on
that PR ("Please do make all int types consistent") and his own original
2023 design intent on issue #3058 ("make all integers (incl. schema
namespaces) an int64_t"). Widens the remaining inconsistent spots now that
compatibility isn't a constraint on this v0.9 branch:
- Integer aggregates (IfcTriangulatedFaceSet.CoordIndex and similar
List<int> attributes), including the SWIG to_vec_int/to_vec_vec_int
helpers, which previously silently truncated via static_cast<int> on the
Python-set path - the same bug class as the original scalar issue.
- The schema code generator (express/mapping.py's integer type mapping),
and all 12 generated schema header/source pairs regenerated to match, so
every schema-typed getter/setter (e.g. IfcOwnerHistory::CreationDate) is
int64_t end to end, not just the dynamic attribute-value path.
Instance/reference identifiers (STEP #123 ids) are deliberately left at
32-bit: they're a file-local index into internal maps, not an EXPRESS
domain value an application chooses, and no realistic STEP file has
billions of entities. The lexer's Token_IDENTIFIER parsing still funnels
through a 32-bit int for this reason - flagged as a known, low-risk gap
rather than fixed, since fixing it would mean touching indexing/hashing
code for no realistic benefit.
Verified: original PR's round-trip tests extended with aggregate cases
(IfcTriangulatedFaceSet.CoordIndex, InnerCoordIndices) at 64-bit boundary
values, in memory and through STEP text, IFC2X3 and IFC4. A standalone C++
program exercising the generated schema API directly (Ifc4::IfcOwnerHistory
::setCreationDate/CreationDate, IfcTriangulatedFaceSet::setCoordIndex/
CoordIndex) confirms int64_t end to end, bypassing SWIG. Full build
(BUILD_IFCGEOM, WITH_OPENCASCADE, BUILD_IFCPYTHON, IFC2X3+IFC4) clean.
test/util/test_attribute.py and test_file.py pass unchanged.
This contribution was produced with the assistance of an AI coding tool.
IfcSurfaceFeature (e.g. road markings) adheres to a host element through
IfcRelAdheresToElement, a [1:1] cardinality hierarchical relationship in the
same family as aggregation, containment and nesting since IFC4.3. The spatial
traversal never followed it, so surface features had no resolvable parent or
container: on import they landed in the Unsorted collection instead of the
host's spatial collection, and were dropped entirely in DECOMPOSITION filter
mode.
Add get_adhered_element (feature to host) to the get_parent resolver chain and
walk HasSurfaceFeatures in get_decomposition, plus a get_surface_features helper
mirroring get_parts/get_contained. With get_parent resolving adherence,
get_container now returns the host's spatial container, so tool.Collector places
surface features under the host. Also follow HasSurfaceFeatures in the Bonsai
DECOMPOSITION filter path so they load in that mode.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
IfcGeometricRepresentationContext.Precision is typed as a plain IfcReal
but is interpreted in the project length unit, so the IfcLengthMeasure
traversal in convert_file_length_units never touched it. A model
converted from mm to m kept a Precision of e.g. 0.01 (fine in mm, huge
in m), which breaks downstream geometry interpretation such as
IfcConvert boolean cleanup.
Subcontexts derive Precision from their parent, so only root contexts
are scaled.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
get_info_2 advertises the same signature as get_info but raised a bare
AssertionError for anything the C++ fast path does not implement --
including its own default arguments (recursive=False).
Use the fast path when recursive=True, return_type=dict and ignore=()
hold, and delegate to the pure Python get_info otherwise. As noted in
the issue, without recursion there is no meaningful performance gain to
lose by delegating.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
test_memusage_partial_open was silently skipped in CI (psutil was
never installed there). Add psutil so it actually runs, and run the
RSS measurement in a subprocess so the fixture file isn't already in
the page cache from earlier tests, which was making both deltas read
as zero.
Generated with the assistance of an AI coding tool.
Andrej730