* Disable implicit conversion from `0` to `pybind11::handle`.
* Reverse or-ed condition in an attempt to resolve GCC 8.3.0 errors (i386/debian:buster).
* Trying the simpler `std::is_same<T, PyObject *>`
* Add implicit_conversion_from_pytorch_THPObjectPtr_to_handle test.
* Accommodate types with implicit conversions to `PyObject *`, other than `handle` & `handle` subclasses, or integral types.
* Fix copy-paste mishap (picked wrong name).
* Revamp SFINAE construct to actually fix the pytorch issue (already validated against pytorch proper).
The first version of the reduced pytorch code was critically missing the move ctor. The first version of the accompanying test was meaningless.
Note: It turns out the `!std::is_arithmetic<T>` condition is not needed: `int` is not in general implicitly convertible to `PyObject *`, only the literal `0` is.
* Use `NOLINT(performance-noexcept-move-constructor)` for reduced code from the wild (rather than changing the code).
* Use any_of, all_of, negation. It turns out to clang-format nicer.
* Clean up comments for changed code.
* Reduce pytorch situation further, add test for operator ... const.
* Use `none_of` as suggested by @skylion007
* Add `pure_compile_tests_for_handle_from_PyObject_pointers()`
* Fix inconsequential oversight (retested).
* Factor our `is_pyobj_ptr_or_nullptr_t` to make the SFINAE conditions more readable.
* Remove stray line (oversight).
* Make the `pure_compile_tests_for_handle_from_PyObject_pointers()` "rhs-const-complete", too.
* Remove the temporary PYBIND11_UNDO_PR4008 `#ifdef`.
Very minor refactoring to ease development and debugging.
Having to declare a local `std::string` has bugged me many times. Nice to get this little nuisance out of the way.
Extracted from PR #4022, where it is used like this:
```
std::fprintf(stdout,
"\nTYPE_CASTER_ODR_GUARD_IMPL %s %s\n",
clean_type_id(intrinsic_type_info.name()).c_str(),
source_file_line_from_sloc.c_str());
```
* Placeholder commit for 3.11 testing
* Does this fix it?
* Try suggestion
* Placeholder commit for 3.11 testing
* Does this fix it?
* Try suggestion
* fix: try using modern init for embedded interp
Signed-off-by: Henry Schreiner <henryschreineriii@gmail.com>
* fix: error message changed in 3.11
* fix: apply logic in Python manually
Signed-off-by: Henry Schreiner <henryschreineriii@gmail.com>
* fix autodetect dynamic attrs in 3.11
* fix: include error message if possible in error
Signed-off-by: Henry Schreiner <henryschreineriii@gmail.com>
* ci: enable standard Python 3.11 testing
Signed-off-by: Henry Schreiner <henryschreineriii@gmail.com>
* Make dynamic attrs condtiion exclusive to ver.
Co-authored-by: Henry Schreiner <henryschreineriii@gmail.com>
When converting an array to an Eigen matrix, ignore the strides if any
dimension size is 0. If the array is empty, the strides aren't relevant,
and especially numpy ≥ 1.23 explicitly sets the strides to 0 in this
case. (See numpy commit dd5ab7b11520.)
Update tests to verify that this works, and continues to work.
* emplace field descriptors
* reserve sufficient capacity
* remove std::move
* properly iterate through dict
* make handle casting more explicit
* Revert to old dict api
