* Manual line breaks to pre-empt undesired `clang-format`ing.
Informed by work under https://github.com/pybind/pybind11/pull/3683:
60b7eb410f59572e6559
* Manual curation of clang-format diffs involving source code comments.
Very labor-intensive and dull.
* Pulling .clang-format change from @henryiii's 9057962d40
* Adding commonly used .clang-format `CommentPragmas:`
* Ensure short lambdas are allowed
Co-authored-by: Aaron Gokaslan <skylion.aaron@gmail.com>
* Adding readability-qualified-auto to .clang-tidy
Ported from @henryiii's 287527f705
* fix: support Python < 3.6
Co-authored-by: Henry Schreiner <henryschreineriii@gmail.com>
* Add `.keys` and `.values` to bind_map
Both of these implement views (rather than just iterators), and `.items`
is also upgraded to a view. In practical terms, this allows a view to be
iterated multiple times and have its size taken, neither of which works
with an iterator.
The views implement `__len__`, `__iter__`, and the keys view implements
`__contains__`. Testing membership also works in item and value views
because Python falls back to iteration. This won't be optimal
for item values since it's linear rather than O(log n) or O(1), but I
didn't fancy trying to get all the corner cases to match Python
behaviour (tuple of wrong types, wrong length tuple, not a tuple etc).
Missing relative to Python dictionary views is `__reversed__` (only
added to Python in 3.8). Implementing that could break code that binds
custom map classes which don't provide `rbegin`/`rend` (at least without
doing clever things with SFINAE), so I've not tried.
The size increase on my system is 131072 bytes, which is rather large
(5%) but also suspiciously round (2^17) and makes me suspect some
quantisation effect.
* bind_map: support any object in __contains__
Add extra overload of `__contains__` (for both the map itself and
KeysView) which takes an arbitrary object and returns false.
* Take py::object by const reference in __contains__
To keep clang-tidy happy.
* Removing stray `py::` (detected via interactive testing in Google environment).
Co-authored-by: Ralf W. Grosse-Kunstleve <rwgk@google.com>
* CI: Intel icc/icpc via oneAPI
Add testing for Intel icc/icpc via the oneAPI images.
Intel oneAPI is in a late beta stage, currently shipping
oneAPI beta09 with ICC 20.2.
CI: Skip Interpreter Tests for Intel
Cannot find how to add this, neiter the package `libc6-dev` nor
`intel-oneapi-mkl-devel` help when installed to solve this:
```
-- Looking for C++ include pthread.h
-- Looking for C++ include pthread.h - not found
CMake Error at /__t/cmake/3.18.4/x64/cmake-3.18.4-Linux-x86_64/share/cmake-3.18/Modules/FindPackageHandleStandardArgs.cmake:165 (message):
Could NOT find Threads (missing: Threads_FOUND)
Call Stack (most recent call first):
/__t/cmake/3.18.4/x64/cmake-3.18.4-Linux-x86_64/share/cmake-3.18/Modules/FindPackageHandleStandardArgs.cmake:458 (_FPHSA_FAILURE_MESSAGE)
/__t/cmake/3.18.4/x64/cmake-3.18.4-Linux-x86_64/share/cmake-3.18/Modules/FindThreads.cmake:234 (FIND_PACKAGE_HANDLE_STANDARD_ARGS)
tests/test_embed/CMakeLists.txt:17 (find_package)
```
CI: libc6-dev from GCC for ICC
CI: Run bare metal for oneAPI
CI: Ubuntu 18.04 for oneAPI
CI: Intel +Catch -Eigen
CI: CMake from Apt (ICC tests)
CI: Replace Intel Py with GCC Py
CI: Intel w/o GCC's Eigen
CI: ICC with verbose make
[Debug] Find core dump
tests: use arg{} instead of arg() for Intel
tests: adding a few more missing {}
fix: sync with @tobiasleibner's branch
fix: try ubuntu 20-04
fix: drop exit 1
docs: Apply suggestions from code review
Co-authored-by: Tobias Leibner <tobias.leibner@googlemail.com>
Workaround for ICC enable_if issues
Another workaround for ICC's enable_if issues
fix error in previous commit
Disable one test for the Intel compiler in C++17 mode
Add back one instance of py::arg().noconvert()
Add NOLINT to fix clang-tidy check
Work around for ICC internal error in PYBIND11_EXPAND_SIDE_EFFECTS in C++17 mode
CI: Intel ICC with C++17
docs: pybind11/numpy.h does not require numpy at build time. (#2720)
This is nice enough to be mentioned explicitly in the docs.
docs: Update warning about Python 3.9.0 UB, now that 3.9.1 has been released (#2719)
Adjusting `type_caster<std::reference_wrapper<T>>` to support const/non-const propagation in `cast_op`. (#2705)
* Allow type_caster of std::reference_wrapper<T> to be the same as a native reference.
Before, both std::reference_wrapper<T> and std::reference_wrapper<const T> would
invoke cast_op<type>. This doesn't allow the type_caster<> specialization for T
to distinguish reference_wrapper types from value types.
After, the type_caster<> specialization invokes cast_op<type&>, which allows
reference_wrapper to behave in the same way as a native reference type.
* Add tests/examples for std::reference_wrapper<const T>
* Add tests which use mutable/immutable variants
This test is a chimera; it blends the pybind11 casters with a custom
pytype implementation that supports immutable and mutable calls.
In order to detect the immutable/mutable state, the cast_op needs
to propagate it, even through e.g. std::reference<const T>
Note: This is still a work in progress; some things are crashing,
which likely means that I have a refcounting bug or something else
missing.
* Add/finish tests that distinguish const& from &
Fixes the bugs in my custom python type implementation,
demonstrate test that requires const& and reference_wrapper<const T>
being treated differently from Non-const.
* Add passing a const to non-const method.
* Demonstrate non-const conversion of reference_wrapper in tests.
Apply formatting presubmit check.
* Fix build errors from presubmit checks.
* Try and fix a few more CI errors
* More CI fixes.
* More CI fixups.
* Try and get PyPy to work.
* Additional minor fixups. Getting close to CI green.
* More ci fixes?
* fix clang-tidy warnings from presubmit
* fix more clang-tidy warnings
* minor comment and consistency cleanups
* PyDECREF -> Py_DECREF
* copy/move constructors
* Resolve codereview comments
* more review comment fixes
* review comments: remove spurious &
* Make the test fail even when the static_assert is commented out.
This expands the test_freezable_type_caster a bit by:
1/ adding accessors .is_immutable and .addr to compare identity
from python.
2/ Changing the default cast_op of the type_caster<> specialization
to return a non-const value. In normal codepaths this is a reasonable
default.
3/ adding roundtrip variants to exercise the by reference, by pointer
and by reference_wrapper in all call paths. In conjunction with 2/, this
demonstrates the failure case of the existing std::reference_wrpper conversion,
which now loses const in a similar way that happens when using the default cast_op_type<>.
* apply presubmit formatting
* Revert inclusion of test_freezable_type_caster
There's some concern that this test is a bit unwieldly because of the use
of the raw <Python.h> functions. Removing for now.
* Add a test that validates const references propagation.
This test verifies that cast_op may be used to correctly detect
const reference types when used with std::reference_wrapper.
* mend
* Review comments based changes.
1. std::add_lvalue_reference<type> -> type&
2. Simplify the test a little more; we're never returning the ConstRefCaster
type so the class_ definition can be removed.
* formatted files again.
* Move const_ref_caster test to builtin_casters
* Review comments: use cast_op and adjust some comments.
* Simplify ConstRefCasted test
I like this version better as it moves the assertion that matters
back into python.
ci: drop pypy2 linux, PGI 20.7, add Python 10 dev (#2724)
* ci: drop pypy2 linux, add Python 10 dev
* ci: fix mistake
* ci: commented-out PGI 20.11, drop 20.7
fix: regression with installed pybind11 overriding local one (#2716)
* fix: regression with installed pybind11 overriding discovered one
Closes#2709
* docs: wording incorrect
style: remove redundant instance->owned = true (#2723)
which was just before set to True in instance->allocate_layout()
fix: also throw in the move-constructor added by the PYBIND11_OBJECT macro, after the argument has been moved-out (if necessary) (#2701)
Make args_are_all_* ICC workarounds unconditional
Disable test_aligned on Intel ICC
Fix test_aligned on Intel ICC
Skip test_python_alreadyset_in_destructor on Intel ICC
Fix test_aligned again
ICC CI: Downgrade pytest
pytest 6 does not capture the `discard_as_unraisable` stderr and
just writes a warning with its content instead.
* refactor: simpler Intel workaround, suggested by @laramiel
* fix: try version with impl to see if it is easier to compile
* docs: update README for ICC
Co-authored-by: Axel Huebl <axel.huebl@plasma.ninja>
Co-authored-by: Henry Schreiner <henryschreineriii@gmail.com>
* Modified Vector STL bind initialization from a buffer type with optimization for simple arrays
* Add subtests to demonstrate processing Python buffer protocol objects with step > 1
* Fixed memoryview step test to only run on Python 3+
* Modified Vector constructor from buffer to return by value for readability
* Change NAMESPACE_BEGIN and NAMESPACE_END macros into PYBIND11_NAMESPACE_BEGIN and PYBIND11_NAMESPACE_END
* Fix sudden HomeBrew 'python not installed' error
* Sweep difference in 'Class.__init__() must be called when overriding __init__' error message between CPython and PyPy under the rug
* Homebrew updated to 3.8 yesterday.
Co-authored-by: Henry Schreiner <HenrySchreinerIII@gmail.com>
* test pair-copyability on C++17 upwards
The stdlib falsely detects containers like M=std::map<T, U>
as copyable, even when one of T and U is not copyable.
Therefore we cannot rely on the stdlib dismissing std::pair<T, M>
by itself, even on C++17.
* fix is_copy_assignable
bind_map used std::is_copy_assignable which suffers from the same problems
as std::is_copy_constructible, therefore the same fix has been applied.
* created tests for copyability
This adds a PYBIND11_NAMESPACE macro that expands to the `pybind11`
namespace with hidden visibility under gcc-type compilers, and otherwise
to the plain `pybind11`. This then forces hidden visibility on
everything in pybind, solving the visibility issues discussed at end
end of #949.
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).
Pre-C++17, std::pair can technically have an copy constructor even
though it can't actually be invoked without a compilation failure (due
to the underlying types being non-copyable). Most stls, including
libc++ since ~3.4, use the C++17 behaviour of not exposing an uncallable
copy constructor, but FreeBSD deliberately broke their libc++ to
preserve the nonsensical behaviour
(https://svnweb.freebsd.org/base?view=revision&revision=261801).
This updates pybind's internal `is_copy_constructible` to also detect
the std::pair case under pre-C++17.
This also everything (except for a couple cases in the internal version)
to use the internal `is_copy_constructible` rather than
`std::is_copy_constructible`.
The "extend" method for vectors defined in stl_bind.h used `reserve` to
allocate space for the extra growth. While this can sometimes make a
constant-factor improvement in performance, it can also cause
construction of a vector by repeated extension to take quadratic rather
than linear time, as memory is reallocated in small increments rather
than on an exponential schedule. For example, this Python code would
take time proportional to the square of the trip count:
```python
a = VectorInt([1, 2, 3])
b = VectorInt()
for i in range(100000):
b.extend(a)
```
This commit removes the `reserve` call. The alternative would be to try
to add some smarter heuristics, but the standard library may well have
its own heuristics (the iterators are random access iterators, so it can
easily determine the number of items being added) and trying to add more
heuristics on top of that seems like a bad idea.
We're current copy by creating an Eigen::Map into the input numpy
array, then assigning that to the basic eigen type, effectively having
Eigen do the copy. That doesn't work for negative strides, though:
Eigen doesn't allow them.
This commit makes numpy do the copying instead by allocating the eigen
type, then having numpy copy from the input array into a numpy reference
into the eigen object's data. This also saves a copy when type
conversion is required: numpy can do the conversion on-the-fly as part
of the copy.
Finally this commit also makes non-reference parameters respect the
convert flag, declining the load when called in a noconvert pass with a
convertible, but non-array input or an array with the wrong dtype.
`EigenConformable::stride_compatible` returns false if the strides are
negative. In this case, do not use `EigenConformable::stride`, as it
is {0,0}. We cannot write negative strides in this element, as Eigen
will throw an assertion if we do.
The `type_caster` specialization for regular, dense Eigen matrices now
does a second `array_t::ensure` to copy data in case of negative strides.
I'm not sure that this is the best way to implement this.
I have added "TODO" tags linking these changes to Eigen bug #747, which,
when fixed, will allow Eigen to accept negative strides.
Allows use of vectors as python buffers, so for example they can be adopted without a copy by numpy.asarray
Allows faster conversion of buffers to vectors by copying instead of individually casting the elements
This replaces the current `all_of_t<Pred, Ts...>` with `all_of<Ts...>`,
with previous use of `all_of_t<Pred, Ts...>` becoming
`all_of<Pred<Ts>...>` (and similarly for `any_of_t`). It also adds a
`none_of<Ts...>`, a shortcut for `negation<any_of<Ts...>>`.
This allows `all_of` and `any_of` to be used a bit more flexible, e.g.
in cases where several predicates need to be tested for the same type
instead of the same predicate for multiple types.
This commit replaces the implementation with a more efficient version
for non-MSVC. For MSVC, this changes the workaround to use the
built-in, recursive std::conjunction/std::disjunction instead.
This also removes the `count_t` since `any_of_t` and `all_of_t` were the
only things using it.
This commit also rearranges some of the future std imports to use actual
`std` implementations for C++14/17 features when under the appropriate
compiler mode, as we were already doing for a few things (like
index_sequence). Most of these aren't saving much (the implementation
for enable_if_t, for example, is trivial), but I think it makes the
intention of the code instantly clear. It also enables MSVC's native
std::index_sequence support.
This commit includes the following changes:
* Don't provide make_copy_constructor for non-copyable container
make_copy_constructor currently fails for various stl containers (e.g.
std::vector, std::unordered_map, std::deque, etc.) when the container's
value type (e.g. the "T" or the std::pair<K,T> for a map) is
non-copyable. This adds an override that, for types that look like
containers, also requires that the value_type be copyable.
* stl_bind.h: make bind_{vector,map} work for non-copy-constructible types
Most stl_bind modifiers require copying, so if the type isn't copy
constructible, we provide a read-only interface instead.
In practice, this means that if the type is non-copyable, it will be,
for all intents and purposes, read-only from the Python side (but
currently it simply fails to compile with such a container).
It is still possible for the caller to provide an interface manually
(by defining methods on the returned class_ object), but this isn't
something stl_bind can handle because the C++ code to construct values
is going to be highly dependent on the container value_type.
* stl_bind: copy only for arithmetic value types
For non-primitive types, we may well be copying some complex type, when
returning by reference is more appropriate. This commit returns by
internal reference for all but basic arithmetic types.
* Return by reference whenever possible
Only if we definitely can't--i.e. std::vector<bool>--because v[i]
returns something that isn't a T& do we copy; for everything else, we
return by reference.
For the map case, we can always return by reference (at least for the
default stl map/unordered_map).
