* Deprecated public constructors of module
* Turn documentation comment of module_::add_object into valid doxygen documentation
* Move definition of PYBIND11_DETAIL_MODULE_STATIC_DEF and PYBIND11_DETAIL_MODULE_CREATE macros up
* Move detail::create_top_level_module to module_::create_extension_module, and unify Python 2 and 3 signature again
* Throw error_already_set if module creation fails in module_::create_extension_module
* Mention module_::create_extension_module in deprecation warning message of module_::module_
* fix: PYBIND11_OBJECT could only be used inside the pybind11 namespace (regression)
* docs: add changelog for conversion protection change
* ci: update to Python 3.9
* Remove code inside 'PYPY_VERSION_NUM < 0x06000000' preprocessor if branch
* fix: more cleanup
* Remove more references to PyPy 5.7 and 5.9 in the docs
* Update comment on PyUnicode_UTF* in PyPy
Co-authored-by: Henry Schreiner <henryschreineriii@gmail.com>
* Allow function/functor passed to py::vectorize to return void
* Stealing @sizmailov's test and fixing unused argument warning
* Add missing std::move()
RVO doesn't work here because function return type is different from
actual returned type
* remove extra EOL
* docs: add a few details
* chore: pre-commit autoupdate
* Remove array_iterator, array_begin, and array_end (in detail namespace)
Co-authored-by: Sergei Izmailov <sergei.a.izmailov@gmail.com>
Co-authored-by: Henry Schreiner <henryschreineriii@gmail.com>
Support C++20. For backwards compatibility, we provide an alias for the old name.
This change is necessary to easily avoid errors when a compiler thinks
`module` is used as a keyword.
* feat: setup.py redesign and helpers
* refactor: simpler design with two outputs
* refactor: helper file update and Windows support
* fix: review points from @YannickJadoul
* refactor: fixes to naming and more docs
* feat: more customization points
* feat: add entry point pybind11-config
* refactor: Try Extension-focused method
* refactor: rename alt/inplace to global
* fix: allow usage with git modules, better docs
* feat: global as an extra (@YannickJadoul's suggestion)
* feat: single version location
* fix: remove the requirement that setuptools must be imported first
* fix: some review points from @wjacob
* fix: use .in, add procedure to docs
* refactor: avoid monkeypatch copy
* docs: minor typos corrected
* fix: minor points from @YannickJadoul
* fix: typo on Windows C++ mode
* fix: MSVC 15 update 3+ have c++14 flag
See <https://docs.microsoft.com/en-us/cpp/build/reference/std-specify-language-standard-version?view=vs-2019>
* docs: discuss making SDists by hand
* ci: use pep517.build instead of manual setup.py
* refactor: more comments from @YannickJadoul
* docs: updates from @ktbarrett
* fix: change to newly recommended tool instead of pep517.build
This was intended as a proof of concept; build seems to be the correct replacement.
See https://github.com/pypa/pep517/pull/83
* docs: updates from @wjakob
* refactor: dual version locations
* docs: typo spotted by @wjakob
* Change base parameter type in register_exception and excepion constructor from PyObject* to handle
* Fix compilation error passing `handle` to `PyObject*`
* Wrap PYBIND11_OVERLOAD_NAME and PYBIND11_OVERLOAD_PURE_NAME in do { ... } while (false), and resolve trailing semicolon
* Deprecate PYBIND11_OVERLOAD_* and get_overload in favor of PYBIND11_OVERRIDE_* and get_override
* Correct erroneous usage of 'overload' instead of 'override' in the implementation and internals
* Fix tests to use non-deprecated PYBIND11_OVERRIDE_* macros
* Update docs to use override instead of overload where appropriate, and add warning about deprecated aliases
* Add semicolons to deprecated PYBIND11_OVERLOAD macros to match original behavior
* Remove deprecation of PYBIND11_OVERLOAD_* macros and get_overload
* Add note to changelog and upgrade guide
* feat: type<T>()
* refactor: using py::type as class
* refactor: py::object as base
* wip: tigher api
* refactor: fix conversion and limit API further
* docs: some added notes from @EricCousineau-TRI
* refactor: use py::type::of
* 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>
* Add py::object casting example to embedding docs
* Move implicit cast example to object.rst
* Move to bottom and improve implicit casting text
* Fix xref
* Improve wording as per @bstaletic's suggestion
* Add note that VS2017 requires /permissive- to build in C++17 mode
* ci: test C++17 on MSVC 2017
* ci: args1/2, use args to override max cxx
Co-authored-by: Henry Schreiner <henryschreineriii@gmail.com>
The main change is to treat error_already_set as a separate category
of exception that arises in different circumstances and needs to be
handled differently. The asymmetry between Python and C++ exceptions
is further emphasized.
To deal with exceptions that hit destructors or other noexcept functions.
Includes fixes to support Python 2.7 and extends documentation on
error handling.
@virtuald and @YannickJadoul both contributed to this PR.
* Fix undefined memoryview format
* Add missing <algorithm> header
* Add workaround for py27 array compatibility
* Workaround py27 memoryview behavior
* Fix memoryview constructor from buffer_info
* Workaround PyMemoryView_FromMemory availability in py27
* Fix up memoryview tests
* Update memoryview test from buffer to check signedness
* Use static factory method to create memoryview
* Remove ndim arg from memoryview::frombuffer and add tests
* Allow ndim=0 memoryview and documentation fixup
* Use void* to align to frombuffer method signature
* Add const variants of frombuffer and frommemory
* Add memory view section in doc
* Fix docs
* Add test for null buffer
* Workaround py27 nullptr behavior in test
* Rename frombuffer to from_buffer
This adds support for a `py::args_kw_only()` annotation that can be
specified between `py::arg` annotations to indicate that any following
arguments are keyword-only. This allows you to write:
m.def("f", [](int a, int b) { /* ... */ },
py::arg("a"), py::args_kw_only(), py::arg("b"));
and have it work like Python 3's:
def f(a, *, b):
# ...
with respect to how `a` and `b` arguments are accepted (that is, `a` can
be positional or by keyword; `b` can only be specified by keyword).
* Make `overload_cast_impl` available in C++11 mode.
Narrow the scope of the `#if defined(PYBIND11_CPP14)` block around overload_cast to only
cover the parts where C++14 is stricly required. Thus, the implementation in
`pybind11::details::overload_cast_impl` is still available in C++11 mode.
* PR #1581: Modify test to use overload_cast_impl, update docs and change log
* Adds std::deque to the types supported by list_caster in stl.h.
* Adds a new test_deque test in test_stl.{py,cpp}.
* Updates the documentation to include std::deque as a default
supported type.
* Fix for Issue #1258
list_caster::load method will now check for a Python string and prevent its automatic conversion to a list.
This should fix the issue "pybind11/stl.h converts string to vector<string> #1258" (https://github.com/pybind/pybind11/issues/1258)
* Added tests for fix of issue #1258
* Changelog: stl string auto-conversion
This commit addresses an inefficiency in how enums are created in
pybind11. Most of the enum_<> implementation is completely generic --
however, being a template class, it ended up instantiating vast amounts
of essentially identical code in larger projects with many enums.
This commit introduces a generic non-templated helper class that is
compatible with any kind of enumeration. enum_ then becomes a thin
wrapper around this new class.
The new enum_<> API is designed to be 100% compatible with the old one.
pybind11 headers passed via the `pybind11_add_module` CMake
function can now be included as `SYSTEM` includes (`-isystem`).
This allows to set stricter (or experimental) warnings in
calling projects that might throw otherwise in headers
a user of pybind11 can not influence.
This PR adds a new py::ellipsis() method which can be used in
conjunction with NumPy's generalized slicing support. For instance,
the following is now valid (where "a" is a NumPy array):
py::array b = a[py::make_tuple(0, py::ellipsis(), 0)];
* 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.
The property returns the enum_ value as a string.
For example:
>>> import module
>>> module.enum.VALUE
enum.VALUE
>>> str(module.enum.VALUE)
'enum.VALUE'
>>> module.enum.VALUE.name
'VALUE'
This is actually the equivalent of Boost.Python "name" property.
I think that there's the word "for" missing for that sentence to be correct.
Please double-check that the sentence means what it's supposed to mean. :-)
- PYBIND11_MAKE_OPAQUE now takes ... rather than a single argument and
expands it with __VA_ARGS__; this lets templated, comma-containing
types get through correctly.
- Adds a new macro PYBIND11_TYPE() that lets you pass the type into a
macro as a single argument, such as:
PYBIND11_OVERLOAD(PYBIND11_TYPE(R<1,2>), PYBIND11_TYPE(C<3,4>), func)
Unfortunately this only works for one macro call: to forward the
argument on to the next macro call (without the processor breaking it
up again) requires also adding the PYBIND11_TYPE(...) to type macro
arguments in the PYBIND11_OVERLOAD_... macro chain.
- updated the documentation with these two changes, and use them at a couple
places in the test suite to test that they work.
None of the three currently recommended approaches works on PyPy, due to
it not garbage collecting things when you want it to. Added a note with
example showing how to get interpreter shutdown callbacks using the Python
atexit module.
py::class_<T>'s `def_property` and `def_property_static` can now take a
`nullptr` as the getter to allow a write-only property to be established
(mirroring Python's `property()` built-in when `None` is given for the
getter).
This also updates properties to use the new nullptr constructor internally.
This also matches the Eigen example for the row-major case.
This also enhances one of the tests to trigger a failure (and fixes it in the PR). (This isn't really a flaw in pybind itself, but rather fixes wrong code in the test code and docs).
MSCV does not allow `&typeid(T)` in constexpr contexts, but the string
part of the type signature can still be constexpr. In order to avoid
`typeid` as long as possible, `descr` is modified to collect type
information as template parameters instead of constexpr `typeid`.
The actual `std::type_info` pointers are only collected in the end,
as a `constexpr` (gcc/clang) or regular (MSVC) function call.
Not only does it significantly reduce binary size on MSVC, gcc/clang
benefit a little bit as well, since they can skip some intermediate
`std::type_info*` arrays.
* Expand documentation to include explicit example of py::module::import
where one would expect it.
* Describe how to use unbound and bound methods to class Python classes.
[skip ci]
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.
