- 13 Aug, 2016 7 commits
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Ivan Smirnov authored
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Ivan Smirnov authored
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Ivan Smirnov authored
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Ivan Smirnov authored
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Ivan Smirnov authored
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Ivan Smirnov authored
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Ivan Smirnov authored
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- 12 Aug, 2016 1 commit
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Jason Rhinelander authored
This allows exposing a dict-like interface to python code, allowing iteration over keys via: for k in custommapping: ... while still allowing iteration over pairs, so that you can also implement 'dict.items()' functionality which returns a pair iterator, allowing: for k, v in custommapping.items(): ... example-sequences-and-iterators is updated with a custom class providing both types of iteration.
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- 11 Aug, 2016 1 commit
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Jason Rhinelander authored
PR #329 generates the following warning under MSVC: ...\cast.h(202): warning C4456: declaration of 'it' hides previous local declaration This renames the second iterator to silence it.
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- 10 Aug, 2016 1 commit
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Jason Rhinelander authored
reference_internal requires an `instance` field to track the returned reference's parent, but that's just a duplication of what keep_alive<0,1> does, so use a keep alive to do this to eliminate the duplication.
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- 09 Aug, 2016 1 commit
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Jason Rhinelander authored
The pointer to the first member of a class instance is the same as the pointer to instance itself; pybind11 has some workarounds for this to not track registered instances that have a registered parent with the same address. This doesn't work everywhere, however: issue #328 is a failure of this for a mutator operator which resolves its argument to the parent rather than the child, as is needed in #328. This commit resolves the issue (and restores tracking of same-address instances) by changing registered_instances from an unordered_map to an unordered_multimap that allows duplicate instances for the same pointer to be recorded, then resolves these differences by checking the type of each matched instance when looking up an instance. (A unordered_multimap seems cleaner for this than a unordered_map<list> or similar because, the vast majority of the time, the instance will be unique).
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- 08 Aug, 2016 1 commit
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Jason Rhinelander authored
Currently pybind11 always translates values returned by Python functions invoked from C++ code by copying, even when moving is feasible--and, more importantly, even when moving is required. The first, and relatively minor, concern is that moving may be considerably more efficient for some types. The second problem, however, is more serious: there's currently no way python code can return a non-copyable type to C++ code. I ran into this while trying to add a PYBIND11_OVERLOAD of a virtual method that returns just such a type: it simply fails to compile because this: overload = ... overload(args).template cast<ret_type>(); involves a copy: overload(args) returns an object instance, and the invoked object::cast() loads the returned value, then returns a copy of the loaded value. We can, however, safely move that returned value *if* the object has the only reference to it (i.e. if ref_count() == 1) and the object is itself temporary (i.e. if it's an rvalue). This commit does that by adding an rvalue-qualified object::cast() method that allows the returned value to be move-constructed out of the stored instance when feasible. This basically comes down to three cases: - For objects that are movable but not copyable, we always try the move, with a runtime exception raised if this would involve moving a value with multiple references. - When the type is both movable and non-trivially copyable, the move happens only if the invoked object has a ref_count of 1, otherwise the object is copied. (Trivially copyable types are excluded from this case because they are typically just collections of primitive types, which can be copied just as easily as they can be moved.) - Non-movable and trivially copy constructible objects are simply copied. This also adds examples to example-virtual-functions that shows both a non-copyable object and a movable/copyable object in action: the former raises an exception if returned while holding a reference, the latter invokes a move constructor if unreferenced, or a copy constructor if referenced. Basically this allows code such as: class MyClass(Pybind11Class): def somemethod(self, whatever): mt = MovableType(whatever) # ... return mt which allows the MovableType instance to be returned to the C++ code via its move constructor. Of course if you attempt to violate this by doing something like: self.value = MovableType(whatever) return self.value you get an exception--but right now, the pybind11-side of that code won't compile at all.
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- 04 Aug, 2016 7 commits
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Dean Moldovan authored
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Dean Moldovan authored
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Dean Moldovan authored
Example signatures (old => new): foo(int) => foo(arg0: int) bar(Object, int) => bar(self: Object, arg0: int) The change makes the signatures uniform for named and unnamed arguments and it helps static analysis tools reconstruct function signatures from docstrings. This also tweaks the signature whitespace style to better conform to PEP 8 for annotations and default arguments: " : " => ": " " = " => "="
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Jason Rhinelander authored
Functions returning specialized Eigen matrices like Eigen::DiagonalMatrix and Eigen::SelfAdjointView--which inherit from EigenBase but not DenseBase--isn't currently allowed; such classes are explicitly copyable into a Matrix (by definition), and so we can support functions that return them by copying the value into a Matrix then casting that resulting dense Matrix into a numpy.ndarray. This commit does exactly that.
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Jason Rhinelander authored
Some Eigen objects, such as those returned by matrix.diagonal() and matrix.block() have non-standard stride values because they are basically just maps onto the underlying matrix without copying it (for example, the primary diagonal of a 3x3 matrix is a vector-like object with .src equal to the full matrix data, but with stride 4). Returning such an object from a pybind11 method breaks, however, because pybind11 assumes vectors have stride 1, and that matrices have strides equal to the number of rows/columns or 1 (depending on whether the matrix is stored column-major or row-major). This commit fixes the issue by making pybind11 use Eigen's stride methods when copying the data.
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Jason Rhinelander authored
This makes the Python interface mirror the C++ interface: pybind11-exported scoped enums aren't directly comparable to the underlying integer values.
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Jason Rhinelander authored
PR #309 broke scoped enums, which failed to compile because the added: value == value2 comparison isn't valid for a scoped enum (they aren't implicitly convertible to the underlying type). This commit fixes it by explicitly converting the enum value to its underlying type before doing the comparison. It also adds a scoped enum example to the constants-and-functions example that triggers the problem fixed in this commit.
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- 03 Aug, 2016 2 commits
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Jason Rhinelander authored
Eigen::Ref is a common way to pass eigen dense types without needing a template, e.g. the single definition `void func(Eigen::Ref<Eigen::MatrixXd> x)` can be called with any double matrix-like object. The current pybind11 eigen support fails with internal errors if attempting to bind a function with an Eigen::Ref<...> argument because Eigen::Ref<...> satisfies the "is_eigen_dense" requirement, but can't compile if actually used: Eigen::Ref<...> itself is not default constructible, and so the argument std::tuple containing an Eigen::Ref<...> isn't constructible, which results in compilation failure. This commit adds support for Eigen::Ref<...> by giving it its own type_caster implementation which consists of an internal type_caster of the referenced type, load/cast methods that dispatch to the internal type_caster, and a unique_ptr to an Eigen::Ref<> instance that gets set during load(). There is, of course, no performance advantage for pybind11-using code of using Eigen::Ref<...>--we are allocating a matrix of the derived type when loading it--but this has the advantage of allowing pybind11 to bind transparently to C++ methods taking Eigen::Refs.
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Pim Schellart authored
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- 02 Aug, 2016 1 commit
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Pim Schellart authored
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- 01 Aug, 2016 1 commit
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Trygve Laugstøl authored
PyObject_SetItem and PyObject_SetAttr both throws an exception on failure so this will show the underlying exception instead of masking it. Fixes #303.
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- 19 Jul, 2016 2 commits
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Wenzel Jakob authored
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Wenzel Jakob authored
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- 18 Jul, 2016 2 commits
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Wenzel Jakob authored
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Wenzel Jakob authored
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- 17 Jul, 2016 1 commit
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Jason Rhinelander authored
This changes the exception error message of a bad-arguments error to suppress the constructor argument when the failure is a constructor. This changes both the "Invoked with: " output to omit the object instances, and rewrites the constructor signature to make it look like a constructor (changing the first argument to the object name, and removing the ' -> NoneType' return type.
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- 12 Jul, 2016 1 commit
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Wenzel Jakob authored
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- 11 Jul, 2016 2 commits
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Wenzel Jakob authored
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Pim Schellart authored
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- 10 Jul, 2016 1 commit
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Wenzel Jakob authored
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- 09 Jul, 2016 1 commit
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Wenzel Jakob authored
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- 08 Jul, 2016 5 commits
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Wenzel Jakob authored
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Wenzel Jakob authored
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Wenzel Jakob authored
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Wenzel Jakob authored
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Klemens Morgenstern authored
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- 07 Jul, 2016 2 commits
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Jason Rhinelander authored
Otherwise this would create unknown option warnings under g++ < 6.
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Jason Rhinelander authored
GCC-6 adds a -Wplacement-new warning that warns for placement-new into a space that is too small, which is sometimes being triggered here (e.g. example5 always generates the warning under g++-6). It's a false warning, however: the line immediately before just checked the size, and so this line is never going to actually be reached in the cases where the GCC warning is being triggered. This localizes the warning disabling just to this one spot as there are other placement-new uses in pybind11 where this warning could warn about legitimate future problems.
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