* Adding a valgrind build on debug Python 3.9
Co-authored-by: Boris Staletic <boris.staletic@gmail.com>
* Add Valgrind suppression files
- Introduce suppression file, populate it with a first suppression taken from CPython, and fix one leak in the tests
- Suppress leak in NumPy
- More clean tests!
- Tests with names a-e passing (except for test_buffer)
- Suppress multiprocessing errors
- Merge multiprocessing suppressions into other suppression files
- Numpy seems to be spelled with a big P
- Append single entry from valgrind-misc.supp to valgrind-python.supp, and make clear valgrind-python.supp is only CPython
Co-authored-by: Boris Staletic <boris.staletic@gmail.com>
* Enable test_virtual_functions with a workaround
* Add a memcheck cmake target
- Add a memcheck cmake target
- Reformat cmake
- Appease the formatting overlords - they are angry
- Format CMake valgrind target decently
* Update CI config to new action versions
* fix: separate memcheck from pytest
* ci: cleanup
* Merge Valgrind and other deadsnakes builds
Co-authored-by: Boris Staletic <boris.staletic@gmail.com>
Co-authored-by: Henry Schreiner <henryschreineriii@gmail.com>
* Adding missing virtual destructors, to silence clang -Wnon-virtual-dtor warnings.
Tested with clang version 9.0.1-12 under an Ubuntu-like OS.
Originally discovered in the Google-internal environment.
* adding -Wnon-virtual-dtor for GNU|Intel|Clang
* Added guards to the includes
Added new CI config
Added new trigger
Changed CI workflow name
Debug CI
Debug CI
Debug CI
Debug CI
Added flags fro PGI
Disable Eigen
Removed tests that fail
Uncomment lines
* fix: missing include
fix: minor style cleanup
tests: support skipping
ci: remove and tighten a bit
fix: try msvc workaround for pgic
* tests: split up prealoc tests
* fix: PGI compiler fix
* fix: PGI void_t only
* fix: try to appease nvcc
* ci: better ordering for slow tests
* ci: minor improvements to testing
* ci: Add NumPy to testing
* ci: Eigen generates CUDA warnings / PGI errors
* Added CentOS7 back for a moment
* Fix YAML
* ci: runs-on missing
* centos7 is missing pytest
* ci: use C++11 on CentOS 7
* ci: test something else
* Try just adding flags on CentOS 7
* fix: CentOS 7
* refactor: move include to shared location
* Added verbose flag
* Try to use system cmake3 on CI
* Try to use system cmake3 on CI, attempt2
* Try to use system cmake3 on CI, attempt3
* tests: not finding pytest should be a warning, not a fatal error
* tests: cleanup
* Weird issue?
* fix: final polish
Co-authored-by: Andrii Verbytskyi <andrii.verbytskyi@mpp.mpg.de>
Co-authored-by: Henry Schreiner <henryschreineriii@gmail.com>
Co-authored-by: Andrii Verbytskyi <averbyts@cern.ch>
The variables PYBIND11_HAS_OPTIONAL, PYBIND11_HAS_EXP_OPTIONAL, PYBIND11_HAS_VARIANT,
__clang__, __APPLE__ were not checked for defined in a minortity of instances.
If the project using pybind11 sets -Wundef, the warnings will show.
The test build is also modified to catch the problem.
* fix: support nvcc and test
* fixup! fix: support nvcc and test
* docs: mention what compilers fail
* fix: much simpler logic
* refactor: slightly faster / clearer
* tests: keep source dir clean
* ci: make first build inplace
* ci: drop dev setting (wasn't doing anything)
* tests: warn if source directory is dirty
* docs: move helpers to .github where allowed
* docs: more guidelines in CONTRIBUTING
* chore: update issue templates
* fix: review from @bstaletic
* refactor: a few points from @rwgk
* docs: more touchup, review changes
* tests: refactor and cleanup
* refactor: more consistent
* tests: vendor six
* tests: more xfails, nicer system
* tests: simplify to info
* tests: suggestions from @YannickJadoul and @bstaletic
* tests: restore some pypy tests that now pass
* tests: rename info to env
* tests: strict False/True
* tests: drop explicit strict=True again
* tests: reduce minimum PyTest to 3.1
This is only necessary if `get_internals` is called for the first time in a given module when the running thread is in a GIL-released state.
Fixes#1364
In def_readonly and def_readwrite, there is an assertion that the member comes
from the class or a base class:
static_assert(std::is_base_of<C, type>::value, "...");
However, if C and type are the same type, is_base_of will still only be true
if they are the same _non-union_ type. This means we can't define accessors
for the members of a union type because of this assertion.
Update the assertion to test
std::is_same<C, type>::value || std::is_base_of<C, type>::value
which will allow union types, or members of base classes.
Also add a basic unit test for accessing unions.
This avoids GIL deadlocking when pybind11 tries to acquire the GIL in a thread that already acquired it using standard Python API (e.g. when running from a Python thread).
* Add basic support for tag-based static polymorphism
Sometimes it is possible to look at a C++ object and know what its dynamic type is,
even if it doesn't use C++ polymorphism, because instances of the object and its
subclasses conform to some other mechanism for being self-describing; for example,
perhaps there's an enumerated "tag" or "kind" member in the base class that's always
set to an indication of the correct type. This might be done for performance reasons,
or to permit most-derived types to be trivially copyable. One of the most widely-known
examples is in LLVM: https://llvm.org/docs/HowToSetUpLLVMStyleRTTI.html
This PR permits pybind11 to be informed of such conventions via a new specializable
detail::polymorphic_type_hook<> template, which generalizes the previous logic for
determining the runtime type of an object based on C++ RTTI. Implementors provide
a way to map from a base class object to a const std::type_info* for the dynamic
type; pybind11 then uses this to ensure that casting a Base* to Python creates a
Python object that knows it's wrapping the appropriate sort of Derived.
There are a number of restrictions with this tag-based static polymorphism support
compared to pybind11's existing support for built-in C++ polymorphism:
- there is no support for this-pointer adjustment, so only single inheritance is permitted
- there is no way to make C++ code call new Python-provided subclasses
- when binding C++ classes that redefine a method in a subclass, the .def() must be
repeated in the binding for Python to know about the update
But these are not much of an issue in practice in many cases, the impact on the
complexity of pybind11's innards is minimal and localized, and the support for
automatic downcasting improves usability a great deal.
This commit turns on `-Wdeprecated` in the test suite and fixes several
associated deprecation warnings that show up as a result:
- in C++17 `static constexpr` members are implicitly inline; our
redeclaration (needed for C++11/14) is deprecated in C++17.
- various test suite classes have destructors and rely on implicit copy
constructors, but implicit copy constructor definitions when a
user-declared destructor is present was deprecated in C++11.
- Eigen also has various implicit copy constructors, so just disable
`-Wdeprecated` in `eigen.h`.
E.g. trying to convert a `list` to a `std::vector<int>` without
including <pybind11/stl.h> will now raise an error with a note that
suggests checking the headers.
The note is only appended if `std::` is found in the function
signature. This should only be the case when a header is missing.
E.g. when stl.h is included, the signature would contain `List[int]`
instead of `std::vector<int>` while using stl_bind.h would produce
something like `MyVector`. Similarly for `std::map`/`Dict`, `complex`,
`std::function`/`Callable`, etc.
There's a possibility for false positives, but it's pretty low.
To avoid an ODR violation in the test suite while testing
both `stl.h` and `std_bind.h` with `std::vector<bool>`,
the `py::bind_vector<std::vector<bool>>` test is moved to
the secondary module (which does not include `stl.h`).
This allows you to use:
cls.def(py::init(&factory_function));
where `factory_function` returns a pointer, holder, or value of the
class type (or a derived type). Various compile-time checks
(static_asserts) are performed to ensure the function is valid, and
various run-time type checks where necessary.
Some other details of this feature:
- The `py::init` name doesn't conflict with the templated no-argument
`py::init<...>()`, but keeps the naming consistent: the existing
templated, no-argument one wraps constructors, the no-template,
function-argument one wraps factory functions.
- If returning a CppClass (whether by value or pointer) when an CppAlias
is required (i.e. python-side inheritance and a declared alias), a
dynamic_cast to the alias is attempted (for the pointer version); if
it fails, or if returned by value, an Alias(Class &&) constructor
is invoked. If this constructor doesn't exist, a runtime error occurs.
- for holder returns when an alias is required, we try a dynamic_cast of
the wrapped pointer to the alias to see if it is already an alias
instance; if it isn't, we raise an error.
- `py::init(class_factory, alias_factory)` is also available that takes
two factories: the first is called when an alias is not needed, the
second when it is.
- Reimplement factory instance clearing. The previous implementation
failed under python-side multiple inheritance: *each* inherited
type's factory init would clear the instance instead of only setting
its own type value. The new implementation here clears just the
relevant value pointer.
- dealloc is updated to explicitly set the leftover value pointer to
nullptr and the `holder_constructed` flag to false so that it can be
used to clear preallocated value without needing to rebuild the
instance internals data.
- Added various tests to test out new allocation/deallocation code.
- With preallocation now done lazily, init factory holders can
completely avoid the extra overhead of needing an extra
allocation/deallocation.
- Updated documentation to make factory constructors the default
advanced constructor style.
- If an `__init__` is called a second time, we have two choices: we can
throw away the first instance, replacing it with the second; or we can
ignore the second call. The latter is slightly easier, so do that.
In C++11 mode, `boost::apply_visitor` requires an explicit `result_type`.
This also adds optional tests for `boost::variant` in C++11/14, if boost
is available. In C++17 mode, `std::variant` is tested instead.
This commit adds a `py::module_local` attribute that lets you confine a
registered type to the module (more technically, the shared object) in
which it is defined, by registering it with:
py::class_<C>(m, "C", py::module_local())
This will allow the same C++ class `C` to be registered in different
modules with independent sets of class definitions. On the Python side,
two such types will be completely distinct; on the C++ side, the C++
type resolves to a different Python type in each module.
This applies `py::module_local` automatically to `stl_bind.h` bindings
when the container value type looks like something global: i.e. when it
is a converting type (for example, when binding a `std::vector<int>`),
or when it is a registered type itself bound with `py::module_local`.
This should help resolve potential future conflicts (e.g. if two
completely unrelated modules both try to bind a `std::vector<int>`.
Users can override the automatic selection by adding a
`py::module_local()` or `py::module_local(false)`.
Note that this does mildly break backwards compatibility: bound stl
containers of basic types like `std::vector<int>` cannot be bound in one
module and returned in a different module. (This can be re-enabled with
`py::module_local(false)` as described above, but with the potential for
eventual load conflicts).
The builtin exception handler currently doesn't work across modules
under clang/libc++ for builtin pybind exceptions like
`pybind11::error_already_set` or `pybind11::stop_iteration`: under
RTLD_LOCAL module loading clang considers each module's exception
classes distinct types. This then means that the base exception
translator fails to catch the exceptions and the fall through to the
generic `std::exception` handler, which completely breaks things like
`stop_iteration`: only the `stop_iteration` of the first module loaded
actually works properly; later modules raise a RuntimeError with no
message when trying to invoke their iterators.
For example, two modules defined like this exhibit the behaviour under
clang++/libc++:
z1.cpp:
#include <pybind11/pybind11.h>
#include <pybind11/stl_bind.h>
namespace py = pybind11;
PYBIND11_MODULE(z1, m) {
py::bind_vector<std::vector<long>>(m, "IntVector");
}
z2.cpp:
#include <pybind11/pybind11.h>
#include <pybind11/stl_bind.h>
namespace py = pybind11;
PYBIND11_MODULE(z2, m) {
py::bind_vector<std::vector<double>>(m, "FloatVector");
}
Python:
import z1, z2
for i in z2.FloatVector():
pass
results in:
Traceback (most recent call last):
File "zs.py", line 2, in <module>
for i in z2.FloatVector():
RuntimeError
This commit fixes the issue by adding a new exception translator each
time the internals pointer is initialized from python builtins: this
generally means the internals data was initialized by some other
module. (The extra translator(s) are skipped under libstdc++).
This adds the infrastructure for a separate test plugin for cross-module
tests. (This commit contains no tests that actually use it, but the
following commits do; this is separated simply to provide a cleaner
commit history).
At this point, there is only a single test for interpreter basics.
Apart from embedding itself, having a C++ test framework will also
benefit the C++-side features by allowing them to be tested directly.
