Commit Graph

1407 Commits

Author SHA1 Message Date
Jason Rhinelander
6906b270d6 Improve make_tuple error message under debugging
When make_tuple fails (for example, when print() is called with a
non-convertible argument, as in #778) the error message a less helpful
than it could be:

    make_tuple(): unable to convert arguments of types 'std::tuple<type1, type2>' to Python object

There is no actual std::tuple involved (only a parameter pack and a
Python tuple), but it also doesn't immediately reveal which type caused
the problem.

This commit changes the debugging mode output to show just the
problematic type:

    make_tuple(): unable to convert argument of type 'type2' to Python object
2017-04-05 11:43:05 -04:00
Dean Moldovan
82ece940fb Replace first_of_t with exactly_one_t 2017-04-03 00:52:47 +02:00
Dean Moldovan
1ac19036d6 Add a scope guard call policy
```c++
m.def("foo", foo, py::call_guard<T>());
```

is equivalent to:

```c++
m.def("foo", [](args...) {
    T scope_guard;
    return foo(args...); // forwarded arguments
});
```
2017-04-03 00:52:47 +02:00
Roman Miroshnychenko
83a8a977a7 Add a method to check Python exception types (#772)
This commit adds `error_already_set::matches()` convenience method to
check if the exception trapped by `error_already_set` matches a given
Python exception type. This will address #700 by providing a less
verbose way to check exceptions.
2017-04-02 22:38:50 +02:00
Sylvain Corlay
37ef74c584 Wrong msvc version 2017-04-01 16:23:45 -04:00
Wenzel Jakob
aa1b316f6f adjusted module::add_object signature so that it accepts a py::handle 2017-03-30 12:03:48 +02:00
Dean Moldovan
194d8b99b3 Support raw string literals as input for py::eval (#766)
* Support raw string literals as input for py::eval
* Dedent only when needed
2017-03-29 00:27:56 +02:00
Jason Rhinelander
6db60cd945 Deprecated borrowed/stolen for borrowed_t{}/stolen_t{} (#771)
The constexpr static instances can cause linking failures if the
compiler doesn't optimize away the reference, as reported in #770.

There's no particularly nice way of fixing this in C++11/14: we can't
inline definitions to match the declaration aren't permitted for
non-templated static variables (C++17 *does* allows "inline" on
variables, but that obviously doesn't help us.)

One solution that could work around it is to add an extra inherited
subclass to `object`'s hierarchy, but that's a bit of a messy solution
and was decided against in #771 in favour of just deprecating (and
eventually dropping) the constexpr statics.

Fixes #770.
2017-03-29 00:23:37 +02:00
Jason Rhinelander
d6fdafb203 Fix unchecked type caster template Dim type 2017-03-26 12:43:22 -03:00
Wenzel Jakob
d405b1b3a4 updated version information for v2.2 development 2017-03-22 22:20:07 +01:00
Dean Moldovan
f0e58a69d3 Fix compilation with clang 4.0 in -std=c++1z mode 2017-03-22 22:08:47 +01:00
Wenzel Jakob
b16421edb1 Nicer API to pass py::capsule destructor (#752)
* nicer py::capsule destructor mechanism
* added destructor-only version of capsule & tests
* added documentation for module destructors (fixes #733)
2017-03-22 22:04:00 +01:00
Jason Rhinelander
773339f131 array-unchecked: add runtime dimension support and array-compatible methods
The extends the previous unchecked support with the ability to
determine the dimensions at runtime.  This incurs a small performance
hit when used (versus the compile-time fixed alternative), but is still considerably
faster than the full checks on every call that happen with
`.at()`/`.mutable_at()`.
2017-03-22 16:15:56 -03:00
Jason Rhinelander
423a49b8be array: add unchecked access via proxy object
This adds bounds-unchecked access to arrays through a `a.unchecked<Type,
Dimensions>()` method.  (For `array_t<T>`, the `Type` template parameter
is omitted).  The mutable version (which requires the array have the
`writeable` flag) is available as `a.mutable_unchecked<...>()`.

Specifying the Dimensions as a template parameter allows storage of an
std::array; having the strides and sizes stored that way (as opposed to
storing a copy of the array's strides/shape pointers) allows the
compiler to make significant optimizations of the shape() method that it
can't make with a pointer; testing with nested loops of the form:

    for (size_t i0 = 0; i0 < r.shape(0); i0++)
        for (size_t i1 = 0; i1 < r.shape(1); i1++)
            ...
                r(i0, i1, ...) += 1;

over a 10 million element array gives around a 25% speedup (versus using
a pointer) for the 1D case, 33% for 2D, and runs more than twice as fast
with a 5D array.
2017-03-22 16:13:59 -03:00
Dean Moldovan
0d765f4a7c Support class-specific operator new and delete
Fixes #754.
2017-03-22 19:28:04 +01:00
Jason Rhinelander
b0292c1df3 vectorize: trivial handling for F-order arrays
This extends the trivial handling to support trivial handling for
Fortran-order arrays (i.e. column major): if inputs aren't all
C-contiguous, but *are* all F-contiguous, the resulting array will be
F-contiguous and we can do trivial processing.

For anything else (e.g. C-contiguous, or inputs requiring non-trivial
processing), the result is in (numpy-default) C-contiguous layout.
2017-03-21 18:53:56 -03:00
Jason Rhinelander
ae5a8f7eb3 Stop forcing c-contiguous in py::vectorize
The only part of the vectorize code that actually needs c-contiguous is
the "trivial" broadcast; for non-trivial arguments, the code already
uses strides properly (and so handles C-style, F-style, neither, slices,
etc.)

This commit rewrites `broadcast` to additionally check for C-contiguous
storage, then takes off the `c_style` flag for the arguments, which
will keep the functionality more or less the same, except for no longer
requiring an array copy for non-c-contiguous input arrays.

Additionally, if we're given a singleton slice (e.g. a[0::4, 0::4] for a
4x4 or smaller array), we no longer fail triviality because the trivial
code path never actually uses the strides on a singleton.
2017-03-21 18:53:56 -03:00
Dean Moldovan
cd3d1fc7df Throw an exception when attempting to load an incompatible holder
Instead of a segfault. Fixes #751.

This covers the case of loading a custom holder from a default-holder
instance. Attempting to load one custom holder from a different custom
holder (i.e. not `std::unique_ptr`) yields undefined behavior, just as
#588 established for inheritance.
2017-03-21 10:26:22 +01:00
Jason Rhinelander
0f5ec0a87e Error message wording tweak
py::arg() doesn't only specify named arguments anymore, so the error
message was misleading (e.g. when using `py::arg().noconvert()` and
forgetting `py::arg()` for a second positional argument).
2017-03-19 12:36:18 -03:00
Jason Rhinelander
5a9247872d Added minimum compiler version assertions
We now require (and enforce at compile time):
- GCC 4.8+
- clang 3.3+ (5.0+ for Apple's renumbered clang)
- MSVC 2015u3+
- ICC 15+

This also updates the versions listed in the README, and removes a
now-redundant MSVC version check.
2017-03-19 01:34:16 -03:00
Jason Rhinelander
3d591e8f2f Document make_iterator/make_key_iterator
This adds brief API documentation for make_iterator/make_key_iterator,
specifically mentioning that it requires InputIterators.

Closes #734.

[skip ci] (no code change here)
2017-03-18 13:38:08 -03:00
Jason Rhinelander
b961626c0c Fail to compile with MI via class_ ctor parameters
We can't support this for classes from imported modules (which is the
primary purpose of a ctor argument base class) because we *have* to
have both parent and derived to properly extract a multiple-inheritance
base class pointer from a derived class pointer.

We could support this for actual `class_<Base, ...> instances, but since
in that case the `Base` is already present in the code, it seems more
consistent to simply always require MI to go via template options.
2017-03-17 15:35:34 -03:00
Jason Rhinelander
d51acb6873 Use C++17 fold expression macro
This puts the fold expressions behind the feature macro instead of a
general C++17 macro.

It also adds a fold expression optimization to constexpr_sum (guarded
by the same feature macro).
2017-03-17 15:32:33 -03:00
Jason Rhinelander
efa8726ff7 Eigen: don't require conformability on length-1 dimensions
Fixes #738

The current check for conformability fails when given a 2D, 1xN or Nx1
input to a row-major or column-major, respectively, Eigen::Ref, leading
to a copy-required state in the type_caster, but this later failed
because the copy was also non-conformable because it had the same shape
and strides (because a 1xN or Nx1 is both F and C contiguous).

In such cases we can safely ignore the stride on the "1" dimension since
it'll never be used: only the "N" dimension stride needs to match the
Eigen::Ref stride, which both fixes the non-conformable copy problem,
but also avoids a copy entirely as long as the "N" dimension has a
compatible stride.
2017-03-17 15:32:18 -03:00
Jean-Michaël Celerier
68e089a8bf Use custom definitions for negation and bool_constant (#737)
Instead of relying on sometimes missing C++17 definitions
2017-03-17 14:51:41 +01:00
Dean Moldovan
819cb5533e Fix nullptr to None conversion for builtin type casters
Fixes #731.

Generally, this applies to any caster made with PYBIND11_TYPE_CASTER().
2017-03-16 13:57:35 +01:00
Wenzel Jakob
dfd89a6081 remove all pybind11 namespace prefixes from stl_bind.h 2017-03-16 11:44:01 +01:00
Dean Moldovan
1769ea427f Add __module__ attribute to all pybind11 builtin types (#729)
Fixes #728.
2017-03-15 15:38:14 +01:00
Patrick Stewart
0b6d08a008 Add function for comparing buffer_info formats to types
Allows equivalent integral types and numpy dtypes
2017-03-14 02:50:04 +01:00
Patrick Stewart
5467979588 Add the buffer interface for wrapped STL vectors
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
2017-03-14 02:50:04 +01:00
Dean Moldovan
16afbcef46 Improve py::array_t scalar type information (#724)
* Add value_type member alias to py::array_t (resolve #632)

* Use numpy scalar name in py::array_t function signatures (e.g. float32/64 instead of just float)
2017-03-13 19:17:18 +01:00
Jason Rhinelander
dc5ce5930f Use move assignment for eigen ref copy
This won't affect much, but makes the code consistent with the
non-copying branch.
2017-03-13 12:49:10 -03:00
Jason Rhinelander
139a082b0e Add static_assert failure for non-static def_static
Fixes #697
2017-03-12 21:32:37 -03:00
Jason Rhinelander
2d965d43a6 Add MSVC 2017 cpp_function ICE workaround
The `decltype(...)` in the template parameter that gives us SFINAE
matching for a lambda makes MSVC 2017 ICE; this works around if by
changing the test to an explicit not-a-function-or-pointer test, which
seems to work everywhere.
2017-03-12 20:02:58 -03:00
Jason Rhinelander
ee9296395d Call PyUnicode_DecodeUTF* directly
Some versions of Python 2.7 reportedly (#713) have issues with
PyUnicode_Decode being passed the encoding string, so just skip it
entirely by calling the PyUnicode_DecodeUTF* function directly.  This
will also be slightly more efficient by avoiding having to check the
encoding string, and (for python 2) going through the unicode class's
decode (python 3 fast-tracks this for all utf-{8,16,32} encodings;
python 2 only fast-tracked for the exact string "utf-8", which we
weren't passing anyway (we had "utf8")).

This doesn't work for PyPy, however: its `PyUnicode_DecodeUTF{8,16,32}`
appear rather broken: the UTF8 one segfaults, while the 16/32 require
recasting into a non-const `char *` (and might segfault; I didn't get
far enough to find out).  Just avoid the whole thing by keeping the
encoding-passed-as-string version for PyPy, which seems to work
reliably.
2017-03-12 00:17:51 -04:00
Jason Rhinelander
e5456c2226 Fix for floating point durations
The duration calculation was using %, but that's only supported on
duration objects when the arithmetic type supports %, and hence fails
for floats.  Fixed by subtracting off the calculated values instead.
2017-03-11 23:04:16 -04:00
Jason Rhinelander
10d1304806 Fix extra docstring newlines under options.disable_function_signatures()
When using pybind::options to disable function signatures, user-defined
docstrings only get appended if they exist, but newlines were getting
appended unconditionally, so the docstring could end up with blank lines
(depending on which overloads, in particular, provided docstrings).

This commit suppresses the empty lines by only adding newlines for
overloads when needed.
2017-03-08 12:32:42 -05:00
Jason Rhinelander
c44fe6fda5 array_t overload resolution support
This makes array_t respect overload resolution and noconvert by failing
to load when `convert = false` if the src isn't already an array of the
correct type.
2017-03-06 14:56:22 -05:00
Jason Rhinelander
e370520918 Remove extraneous enum_ python constructor
Added in 6fb48490ef

The second constructor can't be doing anything--the signatures are
exactly the same, and so the first is always going to be the one
invoked by the dispatcher.
2017-03-04 09:24:05 -05:00
Matthieu Bec
af936e1987 Expose enum_ entries as "__members__" read-only property. Getters get a copy. 2017-03-03 08:45:50 -08:00
eirrgang
11c9f32c0f fix python version check (#705)
Commit 11a337f1 added major and minor python version
checking to cast.h but does not use the macros defined
via the Python.h inclusion. This may be due to an
intention to use the variables defined by the cmake
module FindPythonInterpreter, but nothing in the
pybind11 repo does anything to convert the cmake
variables to preprocessor defines.
2017-03-01 10:53:38 +01:00
Dean Moldovan
5143989623 Fix compilation of Eigen casters with complex scalars 2017-02-28 19:25:09 +01:00
Dean Moldovan
5687b337f9 Fix negative refcount in PyCapsule destructor 2017-02-28 00:27:26 +01:00
Dean Moldovan
5fe9908b7a Add and remove some PyPy iterator workarounds
* The definition of `PySequence_Fast` is more restrictive on PyPy, so
  use the slow path instead.
* `PyDict_Next` has been fixed in PyPy -> remove workaround.
2017-02-26 23:57:03 +01:00
Dean Moldovan
5637af7b67 Add lightweight iterators for tuple, list and sequence
Slightly reduces binary size (range for loops over tuple/list benefit
a lot). The iterators are compatible with std algorithms.
2017-02-26 23:57:03 +01:00
Dean Moldovan
1fac1b9f5f Make py::iterator compatible with std algorithms
The added type aliases are required by `std::iterator_traits`.
Python iterators satisfy the `InputIterator` concept in C++.
2017-02-26 23:57:03 +01:00
Dean Moldovan
f7685826e2 Handle all py::iterator errors
Before this, `py::iterator` didn't do any error handling, so code like:
```c++
for (auto item : py::int_(1)) {
    // ...
}
```
would just silently skip the loop. The above now throws `TypeError` as
expected. This is a breaking behavior change, but any code which relied
on the silent skip was probably broken anyway.

Also, errors returned by `PyIter_Next()` are now properly handled.
2017-02-26 23:57:03 +01:00
Jason Rhinelander
17d0283eca Eigen<->numpy referencing support
This commit largely rewrites the Eigen dense matrix support to avoid
copying in many cases: Eigen arguments can now reference numpy data, and
numpy objects can now reference Eigen data (given compatible types).

Eigen::Ref<...> arguments now also make use of the new `convert`
argument use (added in PR #634) to avoid conversion, allowing
`py::arg().noconvert()` to be used when binding a function to prohibit
copying when invoking the function.  Respecting `convert` also means
Eigen overloads that avoid copying will be preferred during overload
resolution to ones that require copying.

This commit also rewrites the Eigen documentation and test suite to
explain and test the new capabilities.
2017-02-24 23:19:50 +01:00
Jason Rhinelander
546f6fce1a Add an ability to avoid forcing rvp::move
Eigen::Ref objects, when returned, are almost always returned as
rvalues; what's important is the data they reference, not the outer
shell, and so we want to be able to use `::copy`,
`::reference_internal`, etc. to refer to the data the Eigen::Ref
references (in the following commits), rather than the Eigen::Ref
instance itself.

This moves the policy override into a struct so that code that wants to
avoid it (or wants to provide some other Return-type-conditional
override) can create a specialization of
return_value_policy_override<Return> in order to override the override.

This lets an Eigen::Ref-returning function be bound with `rvp::copy`,
for example, to specify that the data should be copied into a new numpy
array rather than referenced, or `rvp::reference_internal` to indicate
that it should be referenced, but a keep-alive used (actually, we used
the array's `base` rather than a py::keep_alive in such a case, but it
accomplishes the same thing).
2017-02-24 23:19:50 +01:00
Jason Rhinelander
fd7517037b Change array's writeable exception to a ValueError
Numpy raises ValueError when attempting to modify an array, while
py::array is raising a RuntimeError.  This changes the exception to a
std::domain_error, which gets mapped to the expected ValueError in
python.
2017-02-24 23:19:50 +01:00
Jason Rhinelander
f86dddf7ba array: fix base handling
numpy arrays aren't currently properly setting base: by setting `->base`
directly, the base doesn't follow what numpy expects and documents (that
is, following chained array bases to the root array).

This fixes the behaviour by using numpy's PyArray_SetBaseObject to set
the base instead, and then updates the tests to reflect the fixed
behaviour.
2017-02-24 23:19:50 +01:00
Jason Rhinelander
88fff9d189 Change numpy constants to non-deprecated versions
A few of pybind's numpy constants are using the numpy-deprecated names
(without "ARRAY_" in them); updated our names to be consistent with
current numpy code.
2017-02-24 23:19:50 +01:00
Jason Rhinelander
7d46c6f60d Make is_template_base_of ignore cv qualification
`is_template_base_of<T>` fails when `T` is `const` (because its
implementation relies on being able to convert a `T*` to a `Base<U>*`,
which won't work when `T` is const).

(This also agrees with std::is_base_of, which ignores cv qualification.)
2017-02-24 23:19:50 +01:00
Jason Rhinelander
d9d224f288 Eigen: fix partially-fixed matrix conversion
Currently when we do a conversion between a numpy array and an Eigen
Vector, we allow the conversion only if the Eigen type is a
compile-time vector (i.e. at least one dimension is fixed at 1 at
compile time), or if the type is dynamic on *both* dimensions.

This means we can run into cases where MatrixXd allow things that
conforming, compile-time sizes does not: for example,
`Matrix<double,4,Dynamic>` is currently not allowed, even when assigning
from a 4-element vector, but it *is* allowed for a
`Matrix<double,Dynamic,Dynamic>`.

This commit also reverts the current behaviour of using the matrix's
storage order to determine the structure when the Matrix is fully
dynamic (i.e. in both dimensions).  Currently we assign to an eigen row
if the storage order is row-major, and column otherwise: this seems
wrong (the storage order has nothing to do with the shape!).  While
numpy doesn't distinguish between a row/column vector, Eigen does, but
it makes more sense to consistently choose one than to produce
something with a different shape based on the intended storage layout.
2017-02-24 23:19:50 +01:00
Jason Rhinelander
231e167854 Show kwargs in failed method invocation
With the previous commit, output can be very confusing because you only
see positional arguments in the "invoked with" line, but you can have a
failure from kwargs as well (in particular, when a value is invalidly
specified via both via positional and kwargs).  This commits adds
kwargs to the output, and updates the associated tests to match.
2017-02-24 23:12:37 +01:00
Jason Rhinelander
caa1379e92 Make bad kwarg arguments try next overload
Fixes #688.

My (commented) assumption that such an error is "highly likely to be a
caller mistake" was proven false by #688.
2017-02-24 23:12:37 +01:00
Jason Rhinelander
ee2e5a5086 Make string conversion stricter (#695)
* Make string conversion stricter

The string conversion logic added in PR #624 for all std::basic_strings
was derived from the old std::wstring logic, but that was underused and
turns out to have had a bug in accepting almost anything convertible to
unicode, while the previous std::string logic was much stricter.  This
restores the previous std::string logic by only allowing actual unicode
or string types.

Fixes #685.

* Added missing 'requires numpy' decorator

(I forgot that the change to a global decorator here is in the
not-yet-merged Eigen PR)
2017-02-24 11:33:31 +01:00
Dean Moldovan
dd01665e5a Enable static properties (py::metaclass) by default
Now that only one shared metaclass is ever allocated, it's extremely
cheap to enable it for all pybind11 types.

* Deprecate the default py::metaclass() since it's not needed anymore.
* Allow users to specify a custom metaclass via py::metaclass(handle).
2017-02-23 15:45:26 +01:00
Dean Moldovan
08cbe8dfed Make all classes with the same instance size derive from a common base
In order to fully satisfy Python's inheritance type layout requirements,
all types should have a common 'solid' base. A solid base is one which
has the same instance size as the derived type (not counting the space
required for the optional `dict_ptr` and `weakrefs_ptr`). Thus, `object`
does not qualify as a solid base for pybind11 types and this can lead to
issues with multiple inheritance.

To get around this, new base types are created: one per unique instance
size. There is going to be very few of these bases. They ensure Python's
MRO checks will pass when multiple bases are involved.
2017-02-23 15:45:26 +01:00
Dean Moldovan
c91f8bd627 Reimplement static properties by extending PyProperty_Type
Instead of creating a new unique metaclass for each type, the builtin
`property` type is subclassed to support static properties. The new
setter/getters always pass types instead of instances in their `self`
argument. A metaclass is still required to support this behavior, but
it doesn't store any data anymore, so a new one doesn't need to be
created for each class. There is now only one common metaclass which
is shared by all pybind11 types.
2017-02-23 15:45:26 +01:00
Lunderberg
c7fcde7c76 Fixed compilation error when binding function accepting some forms of std::function (#689)
* Fixed compilation error when defining function accepting some forms of std::function.

The compilation error happens only when the functional.h header is
present, and the build is done in debug mode, with NDEBUG being
undefined.  In addition, the std::function must accept an abstract
base class by reference.

The compilation error occurred in cast.h, when trying to construct a
std::tuple<AbstractBase>, rather than a std::tuple<AbstractBase&>.
This was caused by functional.h using std::move rather than
std::forward, changing the signature of the function being used.

This commit contains the fix, along with a test that exhibits the
issue when compiled in debug mode without the fix applied.

* Moved new std::function tests into test_callbacks, added callback_with_movable test.
2017-02-22 20:00:59 +01:00
Matthias Möller
c8e506961c fix msvc warning when Python.h was included before pybind11.h (#683)
* fix warning when Python.h was included before pybind11.h

* remove trailing whitespace
2017-02-18 14:29:54 +01:00
Jason Rhinelander
1d7998e333 Revert noexcept deduction in favour of better SFINAE on lambda functions (#677)
noexcept deduction, added in PR #555, doesn't work with clang's
-std=c++1z; and while it works with g++, it isn't entirely clear to me
that it is required to work in C++17.

What should work, however, is that C++17 allows implicit conversion of a
`noexcept(true)` function pointer to a `noexcept(false)` (i.e.  default,
noexcept-not-specified) function pointer.  That was breaking in pybind11
because the cpp_function template used for lambdas provided a better
match (i.e. without requiring an implicit conversion), but it then
failed.

This commit takes a different approach of using SFINAE on the lambda
function to prevent it from matching a non-lambda object, which then
gets implicit conversion from a `noexcept` function pointer to a
`noexcept(false)` function pointer.  This much nicer solution also gets
rid of the C++17 NOEXCEPT macros, and works in both clang and g++.
2017-02-17 12:56:41 +01:00
Dean Moldovan
329d983392 Revert "Template array constructor (#582)"
This reverts commit bee8827a98.
2017-02-14 11:39:03 +01:00
Jason Rhinelander
11a337f16f Unicode fixes and docs (#624)
* Propagate unicode conversion failure

If returning a std::string with invalid utf-8 data, we currently fail
with an uninformative TypeError instead of propagating the
UnicodeDecodeError that Python sets on failure.

* Add support for u16/u32strings and literals

This adds support for wchar{16,32}_t character literals and the
associated std::u{16,32}string types.  It also folds the
character/string conversion into a single type_caster template, since
the type casters for string and wstring were mostly the same anyway.

* Added too-long and too-big character conversion errors

With this commit, when casting to a single character, as opposed to a
C-style string, we make sure the input wasn't a multi-character string
or a single character with codepoint too large for the character type.

This also changes the character cast op to CharT instead of CharT& (we
need to be able to return a temporary decoded char value, but also
because there's little gained by bothering with an lvalue return here).

Finally it changes the char caster to 'has-a-string-caster' instead of
'is-a-string-caster' because, with the cast_op change above, there's
nothing at all gained from inheritance.  This also lets us remove the
`success` from the string caster (which was only there for the char
caster) into the char caster itself.  (I also renamed it to 'none' and
inverted its value to better reflect its purpose).  The None -> nullptr
loading also now takes place only under a `convert = true` load pass.
Although it's unlikely that a function taking a char also has overloads
that can take a None, it seems marginally more correct to treat it as a
conversion.

This commit simplifies the size assumptions about character sizes with
static_asserts to back them up.
2017-02-14 11:08:19 +01:00
Sylvain Corlay
bee8827a98 Template array constructor (#582) 2017-02-14 10:55:01 +01:00
Dean Moldovan
a76ed42c3f Fix sequence_item reference leak (#660) 2017-02-14 01:43:20 +01:00
Matthew Woehlke
e15fa9f99a Avoid C-style const casts (#659)
* Avoid C-style const casts

Replace C-style casts that discard `const` with `const_cast` (and, where
necessary, `reinterpret_cast` as well).

* Warn about C-style const-discarding casts

Change pybind11_enable_warnings to also enable `-Wcast-qual` (warn if a
C-style cast discards `const`) by default. The previous commit should
have gotten rid of all of these (at least, all the ones that tripped in
my build, which included the tests), and this should discourage more
from newly appearing.
2017-02-08 23:43:08 +01:00
Dean Moldovan
d534bd670e Fix handling of Python exceptions during module initialization (#657)
Fixes #656.

Before this commit, the problematic sequence was:

1. `catch (const std::exception &e)` gets a Python exception,
   i.e. `error_already_set`.
2. `PyErr_SetString(PyExc_ImportError, e.what())` sets an `ImportError`.
3. `~error_already_set()` now runs, but `gil_scoped_acquire` fails due
   to an unhandled `ImportError` (which was just set in step 2).

This commit adds a separate catch block for Python exceptions which just
clears the Python error state a little earlier and replaces it with an
`ImportError`, thus making sure that there is only a single Python
exception in flight at a time. (After step 2 in the sequence above,
there were effectively two Python expections set.)
2017-02-08 20:23:56 +01:00
Jason Rhinelander
1eaacd19f6 Fix debugging output for nameless py::arg_v annotations (#648)
* Fix debugging output for nameless py::arg annotations

This fixes a couple bugs with nameless py::arg() (introduced in #634)
annotations:

- the argument name was being used in debug mode without checking that
  it exists (which would result in the std::string construction throwing
  an exception for being invoked with a nullptr)
- the error output says "keyword arguments", but py::arg_v() can now
  also be used for positional argument defaults.
- the debugging output "in function named 'blah'" was overly verbose:
  changed it to just "in function 'blah'".

* Fix missing space in debug test string

* Moved tests from issues to methods_and_attributes
2017-02-08 08:45:51 +01:00
Wenzel Jakob
0defac5977 renamed _check -> check_
(Identifiers starting with underscores are reserved by the standard)
Also fixed a typo in a comment.
2017-02-07 00:06:07 +01:00
Jason Rhinelander
e550589b42 Prefer non-converting argument overloads
This changes the function dispatching code for overloaded functions into
a two-pass procedure where we first try all overloads with
`convert=false` for all arguments.  If no function calls succeeds in the
first pass, we then try a second pass where we allow arguments to have
`convert=true` (unless, of course, the argument was explicitly specified
with `py::arg().noconvert()`).

For non-overloaded methods, the two-pass procedure is skipped (we just
make the overload-allowed call).  The second pass is also skipped if it
would result in the same thing (i.e. where all arguments are
`.noconvert()` arguments).
2017-02-03 20:47:17 -05:00
Jason Rhinelander
abc29cad02 Add support for non-converting arguments
This adds support for controlling the `convert` flag of arguments
through the py::arg annotation.  This then allows arguments to be
flagged as non-converting, which the type_caster is able to use to
request different behaviour.

Currently, AFAICS `convert` is only used for type converters of regular
pybind11-registered types; all of the other core type_casters ignore it.
We can, however, repurpose it to control internal conversion of
converters like Eigen and `array`: most usefully to give callers a way
to disable the conversion that would otherwise occur when a
`Eigen::Ref<const Eigen::Matrix>` argument is passed a numpy array that
requires conversion (either because it has an incompatible stride or the
wrong dtype).

Specifying a noconvert looks like one of these:

    m.def("f1", &f, "a"_a.noconvert() = "default"); // Named, default, noconvert
    m.def("f2", &f, "a"_a.noconvert()); // Named, no default, no converting
    m.def("f3", &f, py::arg().noconvert()); // Unnamed, no default, no converting

(The last part--being able to declare a py::arg without a name--is new:
previous py::arg() only accepted named keyword arguments).

Such an non-convert argument is then passed `convert = false` by the
type caster when loading the argument.  Whether this has an effect is up
to the type caster itself, but as mentioned above, this would be
extremely helpful for the Eigen support to give a nicer way to specify
a "no-copy" mode than the custom wrapper in the current PR, and
moreover isn't an Eigen-specific hack.
2017-02-03 20:18:15 -05:00
Jason Rhinelander
709675a7aa Made arithmetic and complex casters respect convert
Arithmetic and complex casters now only do a converting cast when
`convert=true`; previously they would convert always (e.g. when passing
an int to a float-accepting function, or a float to complex-accepting
function).
2017-02-03 20:16:14 -05:00
Wenzel Jakob
ab60bf1346 Very minor code style changes, and fixed a typo 2017-01-31 17:25:07 +01:00
Jason Rhinelander
bfcf952e01 Pack all function call data into a single struct
This cleans up the previous commit slightly by further reducing the
function call arguments to a single struct (containing the
function_record, arguments vector, and parent).

Although this doesn't currently change anything, it does allow for
future functionality to have a place for precalls to store temporary
objects that need to be destroyed after a function call (whether or not
the call succeeds).

As a concrete example, with this change #625 could be easily implemented
(I think) by adding a std::unique_ptr<gil_scoped_release> member to the
`function_call` struct with a precall that actually constructs it.
Without this, the precall can't do that: the postcall won't be invoked
if the call throws an exception.

This doesn't seems to affect the .so size noticeably (either way).
2017-01-31 17:24:41 +01:00
Jason Rhinelander
70ed2a4897 Use constexpr_first for args/kwargs positional checks 2017-01-31 17:24:41 +01:00
Jason Rhinelander
34d308adf0 Move constexpr_first/last to common.h
This keeps it with constexpr_sum and the other metafunctions.
2017-01-31 17:24:41 +01:00
Jason Rhinelander
3b4b921192 Changed keep_alive template arguments from int to size_t
Passing a negative value wasn't valid anyway, and moreover this avoids a
little bit of extra code to avoid signed/unsigned argument warnings.
2017-01-31 17:24:41 +01:00
Jason Rhinelander
2686da8350 Add support for positional args with args/kwargs
This commit rewrites the function dispatcher code to support mixing
regular arguments with py::args/py::kwargs arguments.  It also
simplifies the argument loader noticeably as it no longer has to worry
about args/kwargs: all of that is now sorted out in the dispatcher,
which now simply appends a tuple/dict if the function takes
py::args/py::kwargs, then passes all the arguments in a vector.

When the argument loader hit a py::args or py::kwargs, it doesn't do
anything special: it just calls the appropriate type_caster just like it
does for any other argument (thus removing the previous special cases
for args/kwargs).

Switching to passing arguments in a single std::vector instead of a pair
of tuples also makes things simpler, both in the dispatch and the
argument_loader: since this argument list is strictly pybind-internal
(i.e. it never goes to Python) we have no particular reason to use a
Python tuple here.

Some (intentional) restrictions:
- you may not bind a function that has args/kwargs somewhere other than
  the end (this somewhat matches Python, and keeps the dispatch code a
  little cleaner by being able to not worry about where to inject the
  args/kwargs in the argument list).
- If you specify an argument both positionally and via a keyword
  argument, you get a TypeError alerting you to this (as you do in
  Python).
2017-01-31 17:24:41 +01:00
Dean Moldovan
ec009a7ca2 Improve custom holder support (#607)
* Abstract away some holder functionality (resolve #585)

Custom holder types which don't have `.get()` can select the correct
function to call by specializing `holder_traits`.

* Add support for move-only holders (fix #605)
2017-01-31 17:05:44 +01:00
Jason Rhinelander
f7f5bc8e37 Numpy: better compilation errors, long double support (#619)
* Clarify PYBIND11_NUMPY_DTYPE documentation

The current documentation and example reads as though
PYBIND11_NUMPY_DTYPE is a declarative macro along the same lines as
PYBIND11_DECLARE_HOLDER_TYPE, but it isn't.  The changes the
documentation and docs example to make it clear that you need to "call"
the macro.

* Add satisfies_{all,any,none}_of<T, Preds>

`satisfies_all_of<T, Pred1, Pred2, Pred3>` is a nice legibility-enhanced
shortcut for `is_all<Pred1<T>, Pred2<T>, Pred3<T>>`.

* Give better error message for non-POD dtype attempts

If you try to use a non-POD data type, you get difficult-to-interpret
compilation errors (about ::name() not being a member of an internal
pybind11 struct, among others), for which isn't at all obvious what the
problem is.

This adds a static_assert for such cases.

It also changes the base case from an empty struct to the is_pod_struct
case by no longer using `enable_if<is_pod_struct>` but instead using a
static_assert: thus specializations avoid the base class, POD types
work, and non-POD types (and unimplemented POD types like std::array)
get a more informative static_assert failure.

* Prefix macros with PYBIND11_

numpy.h uses unprefixed macros, which seems undesirable.  This prefixes
them with PYBIND11_ to match all the other macros in numpy.h (and
elsewhere).

* Add long double support

This adds long double and std::complex<long double> support for numpy
arrays.

This allows some simplification of the code used to generate format
descriptors; the new code uses fewer macros, instead putting the code as
different templated options; the template conditions end up simpler with
this because we are now supporting all basic C++ arithmetic types (and
so can use is_arithmetic instead of is_integral + multiple
different specializations).

In addition to testing that it is indeed working in the test script, it
also adds various offset and size calculations there, which
fixes the test failures under x86 compilations.
2017-01-31 17:00:15 +01:00
Matthias Möller
c2d1d95809 Update common.h (#606)
fixed VS build, when _DEBUG is just defined without any value assigned (e.g. VS15)
2017-01-31 16:54:49 +01:00
Dean Moldovan
57a9bbc6c7 Automate generation of reference docs with doxygen and breathe (#598)
* Make 'any' the default markup role for Sphinx docs

* Automate generation of reference docs with doxygen and breathe

* Improve reference docs coverage
2017-01-31 16:54:08 +01:00
Pim Schellart
cc88aaecc8 Add check for matching holder_type when inheriting (#588) 2017-01-31 16:52:11 +01:00
Alexander Stukowski
05bc1ffbe0 Correct function signature of module init function generated PYBIND11_PLUGIN_IMPL macro for Python 2.x (#602) 2017-01-13 11:12:22 +01:00
Dean Moldovan
5f07facef5 Fix pointer to reference error in type_caster on MSVC (#583) 2017-01-03 11:52:05 +01:00
Wenzel Jakob
fb4e1047e4 begin work on v2.1.0 2017-01-01 14:29:40 +01:00
Wenzel Jakob
e33ef9c20d v2.0.0 release 2017-01-01 13:56:37 +01:00
Wenzel Jakob
64cb699e8a disable dynamic attribute test on pypy 2016-12-26 13:54:47 +01:00
Yung-Yu Chen
c40d8c617f Fix segfault when repr() with pybind11 type with metaclass (#571)
* Fixed a regression that was introduced in the PyPy patch: use ht_qualname_meta instead of ht_qualname to fix PyHeapTypeObject->ht_qualname field.

* Added a qualname/repr test that works in both Python 3.3+ and previous versions
2016-12-26 11:25:42 +01:00
Wenzel Jakob
1d1f81b278 WIP: PyPy support (#527)
This commit includes modifications that are needed to get pybind11 to work with PyPy. The full test suite compiles and runs except for a last few functions that are commented out (due to problems in PyPy that were reported on the PyPy bugtracker).

Two somewhat intrusive changes were needed to make it possible: two new tags ``py::buffer_protocol()`` and ``py::metaclass()`` must now be specified to the ``class_`` constructor if the class uses the buffer protocol and/or requires a metaclass (e.g. for static properties).

Note that this is only for the PyPy version based on Python 2.7 for now. When the PyPy 3.x has caught up in terms of cpyext compliance, a PyPy 3.x patch will follow.
2016-12-16 15:00:46 +01:00
Lori A. Burns
c79e435e00 remove constexpr to help export void arg functions with Intel (#557) 2016-12-16 00:15:24 +01:00
Wenzel Jakob
2029171211 always_construct_holder feature to support intrusively reference-counted types (#561)
* always_construct_holder feature to support intrusively reference-counted types

* added testcase
2016-12-15 23:44:23 +01:00
Jason Rhinelander
6ae68fe301 Add simple any_of/all_of implementation for C++17 2016-12-14 20:42:36 +01:00
Jason Rhinelander
fa5d05e15d Change all_of_t/any_of_t to all_of/any_of, add none_of
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.
2016-12-14 20:42:36 +01:00
Jason Rhinelander
b11b144603 Remove duplicate protected:/private: 2016-12-14 20:40:49 +01:00
Jason Rhinelander
6e036e78a7 Support binding noexcept function/methods in C++17
When compiling in C++17 mode the noexcept specifier is part of the
function type.  This causes a failure in pybind11 because, by omitting
a noexcept specifier when deducing function return and argument types,
we are implicitly making `noexcept(false)` part of the type.

This means that functions with `noexcept` fail to match the function
templates in cpp_function (and other places), and we get compilation
failure (we end up trying to fit it into the lambda function version,
which fails since a function pointer has no `operator()`).

We can, however, deduce the true/false `B` in noexcept(B), so we don't
need to add a whole other set of overloads, but need to deduce the extra
argument when under C++17.  That will *not* work under pre-C++17,
however.

This commit adds two macros to fix the problem: under C++17 (with the
appropriate feature macro set) they provide an extra `bool NoExceptions`
template argument and provide the `noexcept(NoExceptions)` deduced
specifier.  Under pre-C++17 they expand to nothing.

This is needed to compile pybind11 with gcc7 under -std=c++17.
2016-12-14 20:40:49 +01:00
Jason Rhinelander
12ce07a2c2 Remove useless convert argument from argument_loader
Since the argument loader split off from the tuple converter, it is
never called with a `convert` argument set to anything but true.  This
removes the argument entirely, passing a literal `true` from within
`argument_loader` to the individual value casters.
2016-12-14 20:40:49 +01:00
Jason Rhinelander
23e59c8633 Work around gcc 7 ICE
Current g++ 7 snapshot fails to compile pybind under -std=c++17 with:

```
$ make
[  3%] Building CXX object tests/CMakeFiles/pybind11_tests.dir/pybind11_tests.cpp.o
In file included from /home/jagerman/src/pybind11/tests/pybind11_tests.h:2:0,
                 from /home/jagerman/src/pybind11/tests/pybind11_tests.cpp:10:
/home/jagerman/src/pybind11/include/pybind11/pybind11.h: In instantiation of 'pybind11::cpp_function::initialize(Func&&, Return (*)(Args ...), const Extra& ...)::<lambda(pybind11::detail::function_record*, pybind11::handle, pybind11::handle, pybind11::handle)> [with Func = pybind11::cpp_function::cpp_function(Return (Class::*)(Arg ...), const Extra& ...) [with Return = int; Class = ConstructorStats; Arg = {}; Extra = {pybind11::name, pybind11::is_method, pybind11::sibling}]::<lambda(ConstructorStats*)>; Return = int; Args = {ConstructorStats*}; Extra = {pybind11::name, pybind11::is_method, pybind11::sibling}]':
/home/jagerman/src/pybind11/include/pybind11/pybind11.h:120:22:   required from 'struct pybind11::cpp_function::initialize(Func&&, Return (*)(Args ...), const Extra& ...) [with Func = pybind11::cpp_function::cpp_function(Return (Class::*)(Arg ...), const Extra& ...) [with Return = int; Class = ConstructorStats; Arg = {}; Extra = {pybind11::name, pybind11::is_method, pybind11::sibling}]::<lambda(ConstructorStats*)>; Return = int; Args = {ConstructorStats*}; Extra = {pybind11::name, pybind11::is_method, pybind11::sibling}]::<lambda(struct pybind11::detail::function_record*, class pybind11::handle, class pybind11::handle, class pybind11::handle)>'
/home/jagerman/src/pybind11/include/pybind11/pybind11.h:120:19:   required from 'void pybind11::cpp_function::initialize(Func&&, Return (*)(Args ...), const Extra& ...) [with Func = pybind11::cpp_function::cpp_function(Return (Class::*)(Arg ...), const Extra& ...) [with Return = int; Class = ConstructorStats; Arg = {}; Extra = {pybind11::name, pybind11::is_method, pybind11::sibling}]::<lambda(ConstructorStats*)>; Return = int; Args = {ConstructorStats*}; Extra = {pybind11::name, pybind11::is_method, pybind11::sibling}]'
/home/jagerman/src/pybind11/include/pybind11/pybind11.h:62:9:   required from 'pybind11::cpp_function::cpp_function(Return (Class::*)(Arg ...), const Extra& ...) [with Return = int; Class = ConstructorStats; Arg = {}; Extra = {pybind11::name, pybind11::is_method, pybind11::sibling}]'
/home/jagerman/src/pybind11/include/pybind11/pybind11.h:984:22:   required from 'pybind11::class_<type_, options>& pybind11::class_<type_, options>::def(const char*, Func&&, const Extra& ...) [with Func = int (ConstructorStats::*)(); Extra = {}; type_ = ConstructorStats; options = {}]'
/home/jagerman/src/pybind11/tests/pybind11_tests.cpp:24:47:   required from here
/home/jagerman/src/pybind11/include/pybind11/pybind11.h:147:9: sorry, unimplemented: unexpected AST of kind cleanup_stmt
         };
         ^
/home/jagerman/src/pybind11/include/pybind11/pybind11.h:147:9: internal compiler error: in potential_constant_expression_1, at cp/constexpr.c:5593
0x84c52a potential_constant_expression_1
	../../src/gcc/cp/constexpr.c:5593
0x84c3c0 potential_constant_expression_1
	../../src/gcc/cp/constexpr.c:5154
0x645511 finish_function(int)
	../../src/gcc/cp/decl.c:15527
0x66e80b instantiate_decl(tree_node*, int, bool)
	../../src/gcc/cp/pt.c:22558
0x6b61e2 instantiate_class_template_1
	../../src/gcc/cp/pt.c:10444
0x6b61e2 instantiate_class_template(tree_node*)
	../../src/gcc/cp/pt.c:10514
0x75a676 complete_type(tree_node*)
	../../src/gcc/cp/typeck.c:133
0x67d5a4 tsubst_copy_and_build(tree_node*, tree_node*, int, tree_node*, bool, bool)
	../../src/gcc/cp/pt.c:17516
0x67ca19 tsubst_copy_and_build(tree_node*, tree_node*, int, tree_node*, bool, bool)
	../../src/gcc/cp/pt.c:16655
0x672cce tsubst_expr(tree_node*, tree_node*, int, tree_node*, bool)
	../../src/gcc/cp/pt.c:16140
0x6713dc tsubst_expr(tree_node*, tree_node*, int, tree_node*, bool)
	../../src/gcc/cp/pt.c:15408
0x671915 tsubst_expr(tree_node*, tree_node*, int, tree_node*, bool)
	../../src/gcc/cp/pt.c:15394
0x671fc0 tsubst_expr(tree_node*, tree_node*, int, tree_node*, bool)
	../../src/gcc/cp/pt.c:15618
0x66e97f tsubst_expr(tree_node*, tree_node*, int, tree_node*, bool)
	../../src/gcc/cp/pt.c:15379
0x66e97f instantiate_decl(tree_node*, int, bool)
	../../src/gcc/cp/pt.c:22536
0x6ba0cb instantiate_pending_templates(int)
	../../src/gcc/cp/pt.c:22653
0x6fd7f8 c_parse_final_cleanups()
	../../src/gcc/cp/decl2.c:4512
```

which looks a lot like https://gcc.gnu.org/bugzilla/show_bug.cgi?id=77545.

The error seems to be that it gets confused about the `std::tuple<...>
value` in argument_loader: it is apparently not being initialized
properly.  Adding a default constructor with an explicit
default-initialization of `value` works around the problem.
2016-12-14 20:40:49 +01:00
Jason Rhinelander
cb63770978 Silence warnings from eigen under g++ 7
-Wint-in-bool-context triggers many warnings when compiling eigen code,
so disable it locally in eigen.h.
2016-12-14 20:40:49 +01:00
Jason Rhinelander
3f1ff3f4d1 Adds automatic casting on assignment of non-pyobject types (#551)
This adds automatic casting when assigning to python types like dict,
list, and attributes.  Instead of:

    dict["key"] = py::cast(val);
    m.attr("foo") = py::cast(true);
    list.append(py::cast(42));

you can now simply write:

    dict["key"] = val;
    m.attr("foo") = true;
    list.append(42);

Casts needing extra parameters (e.g. for a non-default rvp) still
require the py::cast() call. set::add() is also supported.

All usage is channeled through a SFINAE implementation which either just returns or casts. 

Combined non-converting handle and autocasting template methods via a
helper method that either just returns (handle) or casts (C++ type).
2016-12-12 23:42:52 +01:00
Dean Moldovan
4e959c9af4 Add syntax sugar for resolving overloaded functions (#541) 2016-12-08 11:07:52 +01:00
Jason Rhinelander
ae185b7f19 std::valarray support for stl.h (#545)
* Added ternary support with descr args

Current the `_<bool>(a, b)` ternary support only works for `char[]` `a`
and `b`; this commit allows it to work for `descr` `a` and `b` arguments
as well.

* Add support for std::valarray to stl.h

This abstracts the std::array into a `array_caster` which can then be
used with either std::array or std::valarray, the main difference being
that std::valarray is resizable.  (It also lets the array_caster be
potentially used for other std::array-like interfaces, much as the
list_caster and map_caster currently provide).

* Small stl.h cleanups

- Remove redundant `type` typedefs
- make internal list_caster methods private
2016-12-08 00:43:29 +01:00
Dean Moldovan
ab90ec6ce9 Allow references to objects held by smart pointers (#533) 2016-12-07 02:36:44 +01:00
Dean Moldovan
8c85a85747 Use C++14 index_sequence when possible
Newer standard libraries use compiler intrinsics for std::index_sequence
which makes it ‘free’. This prevents hitting instantiation limits for
recursive templates (-ftemplate-depth).
2016-12-03 23:13:53 +01:00
Dean Moldovan
107285b353 Accept any sequence type as std::tuple or std::pair
This is more Pythonic and compliments the std::vector and std::list
casters which also accept sequences.
2016-12-03 23:13:53 +01:00
Dean Moldovan
719c1733dd Split up tuple caster and function argument loader
This is needed in order to allow the tuple caster to accept any sequence
while keeping the argument loader fast. There is also very little overlap
between the two classes which makes the separation clean. It’s also good
practice not to have completely new functionality in a specialization.
2016-12-03 23:13:53 +01:00
esquires
67a68f1394 print traceback on failed import (#537) 2016-12-01 11:35:34 +01:00
Jason Rhinelander
14bfe622f8 Simplify cast_op return type (#532)
Using a complicated declval here was pointlessly complicated: we
already know the type, because that's what cast_op_type<T> is in the
first place.  (The declval also broke MSVC).
2016-11-25 19:23:01 +01:00
Jason Rhinelander
db86f7f285 Clean up cast operator invocations (#531)
This adds a `detail::cast_op<T>(caster)` function which handles the
rather verbose:

    caster.operator typename CasterType::template cast_op_type<T>()

which allows various places to use the shorter and clearer:

    cast_op<T>(caster)

instead of the full verbose cast operator invocation.
2016-11-25 18:35:00 +01:00
Jason Rhinelander
f200493716 Fixed stl casters to use the appropriate type_caster cast_op_type (#529)
stl casters were using a value cast to (Value) or (Key), but that isn't
always appropriate.  This changes it to use the appropriate value
converter's cast_op_type.
2016-11-25 13:06:18 +01:00
Wenzel Jakob
8d396fcff2 use pybind11::gil_scoped_acquire instead of PyGILState_* 2016-11-24 23:11:11 +01:00
Wenzel Jakob
099d6e9c48 Improved implementation of error_already_set::~error_already_set()
C++ exceptions are destructed in the context of the code that catches
them. At this point, the Python GIL may not be held, which could lead
to crashes with the previous implementation.

PyErr_Fetch and PyErr_Restore should always occur in pairs, which was
not the case for the previous implementation. To clear the exception,
the new approach uses PyErr_Restore && PyErr_Clear instead of simply
decreasing the reference counts of the exception objects.
2016-11-24 18:52:33 +01:00
Wenzel Jakob
e72d958a5d detail::error_string: handle call stacks that switch between C++ and Python multiple times 2016-11-24 12:48:31 +01:00
Wenzel Jakob
fbec17ce90 error_already_set: move-only semantics 2016-11-24 12:30:11 +01:00
Patrick Stewart
5271576828 Use correct itemsize when constructing a numpy dtype from a buffer_info 2016-11-22 22:01:03 +01:00
patstew
47681c183d Only mark unaligned types in buffers (#505)
Previously all types are marked unaligned in buffer format strings,
now we test for alignment before adding the '=' marker.
2016-11-22 12:17:07 +01:00
Sylvain Corlay
b14f065fa9 numpy.h replace macros with functions (#514) 2016-11-22 11:29:55 +01:00
Jason Rhinelander
7146d6299c Changed "Invoked with" output to use repr() instead of str() (#518)
This gives more informative output, often including the type (or at
least some hint about the type).
2016-11-22 11:28:40 +01:00
Wenzel Jakob
df81546965 added forgotten initialization 2016-11-20 05:41:38 +01:00
Dean Moldovan
d079f41c26 Always use return_value_policy::move for rvalues (#510)
Fixes #509.

The move policy was already set for rvalues in PR #473, but this only
applied to directly cast user-defined types. The problem is that STL
containers cast values indirectly and the rvalue information is lost.
Therefore the move policy was not set correctly. This commit fixes it.

This also makes an additional adjustment to remove the `copy` policy
exception: rvalues now always use the `move` policy. This is also safe
for copy-only rvalues because the `move` policy has an internal fallback
to copying.
2016-11-20 05:31:02 +01:00
Wenzel Jakob
31fbf18ac7 replace redundant function_record->class_ field with 1 bit 2016-11-20 05:27:05 +01:00
Wenzel Jakob
7c2461eefd resolve issue involving inheritance + def_static + override (fixes #511) 2016-11-20 05:26:02 +01:00
Wenzel Jakob
405f6d1dfd make arithmetic operators of enum_ optional (#508)
Following commit 90d278, the object code generated by the python
bindings of nanogui (github.com/wjakob/nanogui) went up by a whopping
12%. It turns out that that project has quite a few enums where we don't
really care about arithmetic operators.

This commit thus partially reverts the effects of #503 by introducing
an additional attribute py::arithmetic() that must be specified if the
arithmetic operators are desired.
2016-11-17 23:24:47 +01:00
Dean Moldovan
4de271027d Improve consistency of array and array_t with regard to other pytypes
* `array_t(const object &)` now throws on error
* `array_t::ensure()` is intended for casters —- old constructor is
  deprecated
* `array` and `array_t` get default constructors (empty array)
* `array` gets a converting constructor
* `py::isinstance<array_T<T>>()` checks the type (but not flags)

There is only one special thing which must remain: `array_t` gets
its own `type_caster` specialization which uses `ensure` instead
of a simple check.
2016-11-17 08:55:42 +01:00
Dean Moldovan
c7ac16bb2e Add py::reinterpret_borrow<T>()/steal<T>() for low-level unchecked casts
The pytype converting constructors are convenient and safe for user
code, but for library internals the additional type checks and possible
conversions are sometimes not desired. `reinterpret_borrow<T>()` and
`reinterpret_steal<T>()` serve as the low-level unsafe counterparts
of `cast<T>()`.

This deprecates the `object(handle, bool)` constructor.

Renamed `borrowed` parameter to `is_borrowed` to avoid shadowing
warnings on MSVC.
2016-11-17 08:55:42 +01:00
Dean Moldovan
e18bc02fc9 Add default and converting constructors for all concrete Python types
* Deprecate the `py::object::str()` member function since `py::str(obj)`
  is now equivalent and preferred

* Make `py::repr()` a free function

* Make sure obj.cast<T>() works as expected when T is a Python type

`obj.cast<T>()` should be the same as `T(obj)`, i.e. it should convert
the given object to a different Python type. However, `obj.cast<T>()`
usually calls `type_caster::load()` which only checks the type without
doing any actual conversion. That causes a very unexpected `cast_error`.
This commit makes it so that `obj.cast<T>()` and `T(obj)` are the same
when T is a Python type.

* Simplify pytypes converting constructor implementation

It's not necessary to maintain a full set of converting constructors
and assignment operators + const& and &&. A single converting const&
constructor will work and there is no impact on binary size. On the
other hand, the conversion functions can be significantly simplified.
2016-11-17 08:55:42 +01:00
Dean Moldovan
b4498ef44d Add py::isinstance<T>(obj) for generalized Python type checking
Allows checking the Python types before creating an object instead of
after. For example:
```c++
auto l = list(ptr, true);
if (l.check())
   // ...
```
The above is replaced with:
```c++
if (isinstance<list>(ptr)) {
    auto l = reinterpret_borrow(ptr);
    // ...
}
```

This deprecates `py::object::check()`. `py::isinstance()` covers the
same use case, but it can also check for user-defined types:
```c++
class Pet { ... };
py::class_<Pet>(...);

m.def("is_pet", [](py::object obj) {
    return py::isinstance<Pet>(obj); // works as expected
});
```
2016-11-17 08:55:42 +01:00
Wenzel Jakob
281ccc692c exception constructor consistency improvements (fixes #492) 2016-11-16 17:59:56 +01:00
Sylvain Corlay
5027c4f95b Switch NumPy variadic indexing to per-value arguments (#500)
* Also added unsafe version without checks
2016-11-16 17:53:37 +01:00
Pim Schellart
90d27805b9 Extended enum support (#503)
* Allow enums to be ordered
* Support binary operators
2016-11-16 17:28:11 +01:00
Ivan Smirnov
425b4970b2 Add type casters for nullopt_t, fix none refcount (#499)
* Incref returned None in std::optional type caster

* Add type casters for nullopt_t

* Add a test for nullopt_t
2016-11-15 13:00:38 +01:00
Alexander Stukowski
9a110e6da8 Provide more control over automatic generation of docstrings (#486)
Added the docstring_options class, which gives global control over the generation of docstrings and function signatures.
2016-11-15 12:38:05 +01:00
Jason Rhinelander
617fbcfc1e Fix stl_bind to support movable, non-copyable value types (#490)
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).
2016-11-15 12:30:38 +01:00
Wenzel Jakob
06bd27f536 import size_t into pybind11 namespace (fixes #498) 2016-11-15 06:37:39 +01:00
Wenzel Jakob
5e1c0445cf include backtrace in pybind11::detail::error_string (#494) 2016-11-12 16:57:30 +09:00
Wenzel Jakob
cc4efe69c2 more code style checks in Travis CI :) 2016-11-08 10:53:30 +01:00
Wenzel Jakob
fe40dfe67d address number caster regression (fixes #484) 2016-11-07 15:59:01 +01:00
Jason Rhinelander
c07ec31edf Don't construct unique_ptr around unowned pointers (#478)
If we need to initialize a holder around an unowned instance, and the
holder type is non-copyable (i.e. a unique_ptr), we currently construct
the holder type around the value pointer, but then never actually
destruct the holder: the holder destructor is called only for the
instance that actually has `inst->owned = true` set.

This seems no pointer, however, in creating such a holder around an
unowned instance: we never actually intend to use anything that the
unique_ptr gives us: and, in fact, do not want the unique_ptr (because
if it ever actually got destroyed, it would cause destruction of the
wrapped pointer, despite the fact that that wrapped pointer isn't
owned).

This commit changes the logic to only create a unique_ptr holder if we
actually own the instance, and to destruct via the constructed holder
whenever we have a constructed holder--which will now only be the case
for owned-unique-holder or shared-holder types.

Other changes include:

* Added test for non-movable holder constructor/destructor counts

The three alive assertions now pass, before #478 they fail with counts
of 2/2/1 respectively, because of the unique_ptr that we don't want and
don't destroy (because we don't *want* its destructor to run).

* Return cstats reference; fix ConstructStats doc

Small cleanup to the #478 test code, and fix to the ConstructStats
documentation (the static method definition should use `reference` not
`reference_internal`).

* Rename inst->constructed to inst->holder_constructed

This makes it clearer exactly what it's referring to.
2016-11-06 19:12:48 +01:00
Wenzel Jakob
e916d846bf minor: have enum::export_values() return a reference to *this as usual 2016-11-04 16:51:14 +01:00
Jason Rhinelander
f1b44a051a <optional> requires -std=c++17 (#479)
There are now more places than just descr.h that make use of these.
The new macro isn't quite the same: the old one only tested for a
couple features, while the new one checks for the __cplusplus version
(but doesn't even try to enable C++14 for MSVC/ICC).

g++ 7 adds <optional>, but including it in C++14 mode isn't allowed
(just as including <experimental/optional> isn't allowed in C++11 mode).
(This wasn't triggered in g++-6 because it doesn't provide <optional>
yet.)
2016-11-04 14:49:37 +01:00
Jason Rhinelander
12edaaa66a Only enable std::optional if compiling in >= C++14 (#476) 2016-11-03 16:17:11 +01:00
Ivan Smirnov
44a69f78cf std::experimental::optional (#475)
* Add type caster for std::experimental::optional

* Add tests for std::experimental::optional

* Support both <optional> / <experimental/optional>

* Mention std{::experimental,}::optional in the docs
2016-11-03 13:42:46 +01:00
Wenzel Jakob
bd560acf40 smart pointer refcount fix by @dean0x7d with slight modifications (fixes #471) 2016-11-03 11:53:35 +01:00
Ivan Smirnov
cc8ff16547 Move register_dtype() outside of the template
(avoid code bloat if possible)
2016-11-03 09:35:05 +00:00
Ivan Smirnov
2dbf029705 Add public shared_data API
NumPy internals are stored under "_numpy_internals" key.
2016-11-03 09:35:05 +00:00
Ivan Smirnov
2184f6d4d6 NumPy dtypes are now shared across extensions 2016-11-03 09:35:05 +00:00
Wenzel Jakob
a743ead455 Merge pull request #474 from aldanor/feature/numpy-dtype-ex
Overriding field names when binding structured dtypes
2016-11-03 09:44:30 +01:00
Ivan Smirnov
e8b50360fe Add dtype binding macro that allows setting names
PYBIND11_NUMPY_DTYPE_EX(Type, F1, "N1", F2, "N2", ...)
2016-11-01 13:27:35 +00:00
Dean Moldovan
03f627ebb1 Make reference(_internal) the default return value policy for properties (#473)
* Make reference(_internal) the default return value policy for properties

Before this, all `def_property*` functions used `automatic` as their
default return value policy. This commit makes it so that:

 * Non-static properties use `reference_interal` by default, thus
   matching `def_readonly` and `def_readwrite`.

 * Static properties use `reference` by default, thus matching
   `def_readonly_static` and `def_readwrite_static`.

In case `cpp_function` is passed to any `def_property*`, its policy will
be used instead of any defaults. User-defined arguments in `extras`
still have top priority and will override both the default policies and
the ones from `cpp_function`.

Resolves #436.

* Almost always use return_value_policy::move for rvalues

For functions which return rvalues or rvalue references, the only viable
return value policies are `copy` and `move`. `reference(_internal)` and
`take_ownership` would take the address of a temporary which is always
an error.

This commit prevents possible user errors by overriding the bad rvalue
policies with `move`. Besides `move`, only `copy` is allowed, and only
if it's explicitly selected by the user.

This is also a necessary safety feature to support the new default
return value policies for properties: `reference(_internal)`.
2016-11-01 11:44:57 +01:00
Wenzel Jakob
496feacfd0 pybind11: implicitly convert NumPy integer scalars
The current integer caster was unnecessarily strict and rejected
various kinds of NumPy integer types when calling C++ functions
expecting normal integers. This relaxes the current behavior.
2016-10-28 01:02:46 +02:00
Jason Rhinelander
6873c202b3 Prevent overwriting previous declarations
Currently pybind11 doesn't check when you define a new object (e.g. a
class, function, or exception) that overwrites an existing one.  If the
thing being overwritten is a class, this leads to a segfault (because
pybind still thinks the type is defined, even though Python no longer
has the type).  In other cases this is harmless (e.g. replacing a
function with an exception), but even in that case it's most likely a
bug.

This code doesn't prevent you from actively doing something harmful,
like deliberately overwriting a previous definition, but detects
overwriting with a run-time error if it occurs in the standard
class/function/exception/def registration interfaces.

All of the additions are in non-template code; the result is actually a
tiny decrease in .so size compared to master without the new test code
(977304 to 977272 bytes), and about 4K higher with the new tests.
2016-10-24 22:45:51 -04:00
Wenzel Jakob
dd9bd7778f Merge pull request #453 from aldanor/feature/numpy-scalars
NumPy scalars to ctypes conversion support
2016-10-25 01:15:25 +02:00
Ivan Smirnov
8f3e045deb Use detail::get_type_info() wherever sensible
This reduces direct access to internals.registered_types_cpp to
just a few places.
2016-10-24 23:55:52 +01:00
Ivan Smirnov
a6e6a8b108 Require existing typeinfo for direct conversions
This avoid a hashmap lookup since the pointer to the list of
direct converters is now cached in the typeinfo.
2016-10-23 15:29:10 +01:00
Wenzel Jakob
c0d19192d2 minor indentation change 2016-10-22 13:08:44 -04:00
Wenzel Jakob
f4eec65526 Merge pull request #455 from bennorth/bugfix/bad-delete-if-no-copy-ctor
Bugfix: bad delete if no copy ctor
2016-10-22 19:06:50 +02:00
Ivan Smirnov
43a88f4574 Reraise existing exception if dtype ctor fails 2016-10-22 18:57:07 +02:00
Ivan Smirnov
694269435b Allow implicit casts from literal strings to dtype 2016-10-22 18:57:07 +02:00
Ivan Smirnov
ef5a38044c A few dtype method docstrings 2016-10-22 18:57:07 +02:00
Ivan Smirnov
f70cc112f0 Make dtype from string ctor accept const ref 2016-10-22 18:57:07 +02:00
Dean Moldovan
5b7e190fa2 Fix def_property and related functions
Making `cppfunction` explicit broke `def_property` and friends.
The added tests would not compile without an implicit `cppfunction`.
2016-10-21 18:51:14 +02:00
Ben North
24a2054dbc Fix wrapper's 'value' and 'owned' if ctor missing
type_caster_generic::cast(): The values of

    wrapper->value
    wrapper->owned

are incorrect in the case that a return value policy of 'copy' is
requested but there is no copy-constructor.  (Similarly 'move'.)  In
particular, if the source object is a static instance, the destructor of
the 'object' 'inst' leads to class_::dealloc() which incorrectly
attempts to 'delete' the static instance.

This commit re-arranges the code to be clearer as to what the values of
'value' and 'owned' should be in the various cases.  Behaviour is
different to previous code only in two situations:

policy = copy but no copy-ctor: Old code leaves 'value = src, owned =
true', which leads to trouble.  New code leaves 'value = nullptr, owned
= false', which is correct.

policy = move but no move- or copy-ctor: old code leaves 'value = src,
owned = true', which leads to trouble.  New code leaves 'value =
nullptr, owned = false', which is correct.
2016-10-20 21:32:55 +01:00
Ivan Smirnov
7edd72db24 Disallow registering dtypes multiple times 2016-10-20 16:57:12 +01:00
Ivan Smirnov
ccc69f91f4 Cache direct converters in the generic type caster 2016-10-20 16:52:24 +01:00
Ivan Smirnov
85e16262d6 Enable direct conversions with no typeinfo present 2016-10-20 16:46:40 +01:00
Ivan Smirnov
7bf90e8008 Add a direct converter for numpy scalars 2016-10-20 16:11:08 +01:00
Ivan Smirnov
c275ee6b46 Add support for "direct" converters 2016-10-20 16:09:31 +01:00
Ivan Smirnov
ba08db4da5 Import a few more numpy extern symbols 2016-10-20 16:09:10 +01:00
Dean Moldovan
5d28dd1194 Support std::shared_ptr holder type out of the box
With this there is no more need for manual user declarations like
`PYBIND11_DECLARE_HOLDER_TYPE(T, std::shared_ptr<T>)`. Existing ones
will still compile without error -- they will just be ignored silently.

Resolves #446.
2016-10-20 16:19:58 +02:00
Ivan Smirnov
fb74df50c9 Implement format/numpy descriptors for enums 2016-10-20 12:38:43 +01:00
Dean Moldovan
c889ebd0e1 Make operator bool() explicit
This prevents unwanted conversions to bool or int such as:
```
py::object my_object;

std::cout << my_object << std::endl; // compiles and prints 0 or 1
int n = my_object; // compiles and is nonsense
```

With `explicit operator bool()` the above cases become compiler errors.
2016-10-17 02:01:53 +02:00
Jason Rhinelander
12d76600f8 Disable most implicit conversion constructors
We have various classes that have non-explicit constructors that accept
a single argument, which is implicitly making them implicitly
convertible from the argument.  In a few cases, this is desirable (e.g.
implicit conversion of std::string to py::str, or conversion of double
to py::float_); in many others, however, it is unintended (e.g. implicit
conversion of size_t to some pre-declared py::array_t<T> type).

This disables most of the unwanted implicit conversions by marking them
`explicit`, and comments the ones that are deliberately left implicit.
2016-10-16 16:27:42 -04:00
Wenzel Jakob
946f897da0 Merge pull request #445 from lsst-dm/master
Accept any sequence type as std::vector (or std::list)
2016-10-15 23:50:06 +02:00
Dean Moldovan
b8cb5ca7bd Fix dynamic attribute inheritance in C++
`PyType_Ready` would usually perform the inheritance for us, but it
can't adjust `tp_basicsize` appropriately.
2016-10-14 18:01:17 +02:00
Wenzel Jakob
5c13749aea Merge pull request #437 from dean0x7d/dynamic-attrs
Add dynamic attribute support
2016-10-14 08:57:12 +02:00
Wenzel Jakob
c01a1c1ade added array::ensure() function wrapping PyArray_FromAny
This convenience function ensures that a py::object is either a
py::array, or the implementation will try to convert it into one. Layout
requirements (such as c_style or f_style) can be also be provided.
2016-10-14 01:08:07 +02:00
Dean Moldovan
22726c9d22 Only allocate dict pointer when needed for dynamic attributes 2016-10-13 23:37:53 +02:00
Wenzel Jakob
fac7c09458 NumPy "base" feature: integrated feedback by @aldanor 2016-10-13 10:49:53 +02:00
Wenzel Jakob
c49d6e508a py::print robustness improvements, added import exception class 2016-10-13 10:34:52 +02:00
Wenzel Jakob
369e9b3937 Permit creation of NumPy arrays with a "base" object that owns the data
This patch adds an extra base handle parameter to most ``py::array`` and
``py::array_t<>`` constructors. If specified along with a pointer to
data, the base object will be registered within NumPy, which increases
the base's reference count. This feature is useful to create shallow
copies of C++ or Python arrays while ensuring that the owners of the
underlying can't be garbage collected while referenced by NumPy.

The commit also adds a simple test function involving a ``wrap()``
function that creates shallow copies of various N-D arrays.
2016-10-13 01:03:40 +02:00
Pim Schellart
d2afe7f001 Accept any sequence type as std::vector (or std::list) 2016-10-12 12:35:36 -04:00
Dean Moldovan
6fccf69360 Add dynamic attribute support 2016-10-11 22:13:02 +02:00
Wenzel Jakob
4c00fd9ef6 extra python version sanity check at import time
Python 3.5 can often import pybind11 modules compiled compiled for
Python 3.4 (i.e. all symbols can be resolved), but this leads to crashes
later on due to changes in various Python-internal data structures. This
commit adds an extra sanity check to prevent a successful import when
the Python versions don't match.
2016-10-09 19:40:17 +02:00
Wenzel Jakob
e71ab8f455 unpacking_collector: allow nullptr-valued kwargs argument
This fixes an issue that can arise when forwarding (*args, **kwargs)
captured from a pybind11-bound function call to another Python function.
When the initial function call includes no keyword arguments, the
py::kwargs field is set to nullptr and causes a crash later on.
2016-10-08 15:30:02 +02:00
Wenzel Jakob
ba7678016c numpy.h: added array::squeeze() method 2016-10-07 11:19:57 +02:00
Jason Rhinelander
7b8e3f9ec8 Re-add (but deprecated) bool operator for attr/items
PR #425 removed the bool operator from attribute accessors.  This is
likely in use by existing code as it was the only way before #425 added
the `hasattr` function to check for the existence of an attribute, via:

    if (obj.attr("foo")) { ... }

This commit adds it back in for attr and item accessors, but with a
deprecation warning to use `hasattr(obj, ...)` or `obj.contains(...)`
instead.
2016-10-02 16:39:51 -04:00
Wenzel Jakob
103d78d368 failed implicit conversions shouldn't lead to nullptr dereference 2016-09-30 13:43:19 +02:00
Wenzel Jakob
cd4d7d6bf8 very minor caster simplification 2016-09-30 12:20:19 +02:00
Dean Moldovan
71af3b07fb Simplify base class detection for Eigen types 2016-09-29 10:38:13 +02:00
Wenzel Jakob
632dee1e11 Merge pull request #356 from TrentHouliston/master
Add in casts for c++11s chrono classes to pythons datetime
2016-09-27 17:58:34 +02:00
Trent Houliston
a3603e6df0 Simplify redundant code, conform to style suggestions, improve logic 2016-09-28 01:01:44 +10:00
Wenzel Jakob
b0c4444687 format_descr constexpr tweak for MSVC by @jagerman (fixes #416) 2016-09-27 11:23:59 +02:00
Dean Moldovan
2bab5793f7 Later assignments to accessors should not overwrite the original field
`auto var = l[0]` has a strange quirk: `var` is actually an accessor and
not an object, so any later assignment of `var = ...` would modify l[0]
instead of `var`. This is surprising compared to the non-auto assignment
`py::object var = l[0]; var = ...`.

By overloading `operator=` on lvalue/rvalue, the expected behavior is
restored even for `auto` variables.
2016-09-23 02:00:01 +02:00
Dean Moldovan
ea763a57a8 Extend tuple and list accessor interface 2016-09-23 02:00:01 +02:00
Dean Moldovan
242b146a51 Extend attribute and item accessor interface using object_api 2016-09-23 02:00:01 +02:00
Dean Moldovan
865e43034b Make attr and item accessors throw on error instead of returning nullptr
This also adds the `hasattr` and `getattr` functions which are needed
with the new attribute behavior. The new functions behave exactly like
their Python counterparts.

Similarly `object` gets a `contains` method which calls `__contains__`,
i.e. it's the same as the `in` keyword in Python.
2016-09-23 01:40:22 +02:00
Dean Moldovan
37e22e436e Move common object functions into object_api mixin 2016-09-23 01:38:35 +02:00
Dzhelil Rufat
c250ee5146 Use more consistent indentation and typenames names. 2016-09-22 14:51:41 -07:00
Wenzel Jakob
e72a676b72 More verbose error messages when PyType_Ready fails 2016-09-19 13:45:34 +02:00
Wenzel Jakob
c1fc27e2b5 use detail::enable_if_t everywhere 2016-09-19 13:45:34 +02:00
Wenzel Jakob
8e5dceb6a6 Multiple inheritance support 2016-09-19 13:45:31 +02:00
Wenzel Jakob
bad589a477 deprecated py::base<>, added a macro for improved readability 2016-09-19 13:43:47 +02:00
Wenzel Jakob
e99ebaedcf nicer error message for invalid function arguments 2016-09-19 13:43:43 +02:00
Jason Rhinelander
b3794f1087 Added py::register_exception for simple case (#296)
The custom exception handling added in PR #273 is robust, but is overly
complex for declaring the most common simple C++ -> Python exception
mapping that needs only to copy `what()`.  This add a simpler
`py::register_exception<CppExp>(module, "PyExp");` function that greatly
simplifies the common basic case of translation of a simple CppException
into a simple PythonException, while not removing the more advanced
capabilities of defining custom exception handlers.
2016-09-16 08:04:15 +02:00
Trent Houliston
ad3bb9bbab Include the cmath header for std::lround.
Fix spaces before parens for style guide.
2016-09-14 19:27:53 +10:00
Trent Houliston
2f597687e7 Changed non system clocks to be time deltas
Allowed durations and non system clocks to be set from floats.
2016-09-13 20:40:28 +10:00
Trent Houliston
207d0da31c Move the python datetime header into the chrono header 2016-09-13 19:58:05 +10:00
Trent Houliston
0ee97dd6d0 Only import PyDateTime if we have to 2016-09-13 19:58:05 +10:00
Trent Houliston
352149e892 Refactor the chrono cast functions into chrono.h.
Add unit tests and documentation for the chrono cast.
2016-09-13 19:58:05 +10:00
Trent Houliston
6ddfd1e090 Add in casts for c++11s chrono classes to pythons datetime 2016-09-13 19:41:48 +10:00
Jason Rhinelander
4a4fb396e7 Fix build under debug mode
Take load_type by nested type_caster template arguments instead of by
full type_caster type.
2016-09-12 16:21:40 -04:00
Wenzel Jakob
f22683806e Merge pull request #400 from jagerman/add-ref-virtual-macros
Add a way to deal with copied value references
2016-09-12 06:32:39 +09:00
Jason Rhinelander
3e4fe6c0a8 Store a static type_caster rather than the basic type 2016-09-11 12:17:41 -04:00
Jason Rhinelander
f3f53e2b03 Removed unused/unwanted public ref_cast 2016-09-11 11:36:33 -04:00
Wenzel Jakob
b2eda9ac7c Merge pull request #408 from dean0x7d/exc-destructors
Fix Python C API calls in desctuctors triggered by error_already_set
2016-09-11 21:33:33 +09:00
Wenzel Jakob
e3c297f03e Merge pull request #407 from wjakob/fix_iterator
parameterize iterators by return value policy (fixes #388)
2016-09-11 20:02:32 +09:00
Jason Rhinelander
7dfb932e70 Update OVERLOAD macros to support ref/ptr return type overloads
This adds a static local variable (in dead code unless actually needed)
in the overload code that is used for storage if the overload is for
some convert-by-value type (such as numeric values or std::string).

This has limitations (as written up in the advanced doc), but is better
than simply not being able to overload reference or pointer methods.
2016-09-11 01:21:53 -04:00
Ivan Smirnov
f2a0ad5855 array: add direct data access and indexing methods 2016-09-10 16:24:00 +01:00
Ivan Smirnov
91b3d681ad Expose some dtype/array attributes via NumPy C API 2016-09-10 16:24:00 +01:00
Dean Moldovan
f69071ca4b Make it easier to add new binding of builtin Python exceptions 2016-09-10 16:14:36 +02:00
Dean Moldovan
135ba8deaf Make error_already_set fetch and hold the Python error
This clears the Python error at the error_already_set throw site, thus
allowing Python calls to be made in destructors which are triggered by
the exception. This is preferable to the alternative, which would be
guarding every Python API call with an error_scope.

This effectively flips the behavior of error_already_set. Previously,
it was assumed that the error stays in Python, so handling the exception
in C++ would require explicitly calling PyErr_Clear(), but nothing was
needed to propagate the error to Python. With this change, handling the
error in C++ does not require a PyErr_Clear() call, but propagating the
error to Python requires an explicit error_already_set::restore().

The change does not break old code which explicitly calls PyErr_Clear()
for cleanup, which should be the majority of user code. The need for an
explicit restore() call does break old code, but this should be mostly
confined to the library and not user code.
2016-09-10 12:08:32 +02:00
Wenzel Jakob
b212f6c416 parameterize iterators by return value policy (fixes #388) 2016-09-10 17:16:16 +09:00
Wenzel Jakob
720136bfa7 RAII wrapper for error state 2016-09-10 16:32:17 +09:00
Wenzel Jakob
1f2e417d8c Merge pull request #403 from jagerman/alias-initialization
Implement py::init_alias<>() constructors
2016-09-10 16:12:19 +09:00
Wenzel Jakob
382484ae56 operators should return NotImplemented given unsupported input (fixes #393) 2016-09-10 15:34:26 +09:00
Jason Rhinelander
ec62d977c4 Implement py::init_alias<>() constructors
This commit adds support for forcing alias type initialization by
defining constructors with `py::init_alias<arg1, arg2>()` instead of
`py::init<arg1, arg2>()`.  Currently py::init<> only results in Alias
initialization if the type is extended in python, or the given
arguments can't be used to construct the base type, but can be used to
construct the alias.  py::init_alias<>, in contrast, always invokes the
constructor of the alias type.

It looks like this was already the intention of
`py::detail::init_alias`, which was forward-declared in
86d825f330, but was apparently never
finished: despite the existance of a .def method accepting it, the
`detail::init_alias` class isn't actually defined anywhere.

This commit completes the feature (or possibly repurposes it), allowing
declaration of classes that will always initialize the trampoline which
is (as I argued in #397) sometimes useful.
2016-09-09 03:04:09 -04:00
Jason Rhinelander
5aa2cd5eb9 Template simplifications
Switch count_t to use constexpr_sum (under non-MSVC), and then make
all_of_t/any_of_t use it instead of doing the sum itself.

For MSVC, count_t is still done using template recursion, but
all_of_t/any_of_t can also make use of it.
2016-09-08 17:59:50 -04:00
Wenzel Jakob
260b26b3d6 Merge pull request #399 from jagerman/fix-alias-initialization
Fix type alias initialization
2016-09-09 00:39:43 +09:00
Jason Rhinelander
9c6859ee6e Fix type alias initialization
Type alias for alias classes with members didn't work properly: space
was only allocated for sizeof(type), but if we want to be able to put a
type_alias instance there, we need sizeof(type_alias), but
sizeof(type_alias) > sizeof(type) whenever type_alias has members.
2016-09-08 11:10:18 -04:00
Wenzel Jakob
9d7f7a38a7 fixed Py_None reference couting 2016-09-08 22:53:18 +09:00
Wenzel Jakob
5812d64ba2 Merge pull request #394 from jagerman/fix-ref-heap-casts
Fix ref heap casts
2016-09-08 09:05:15 +09:00
Wenzel Jakob
587aa328c6 Merge pull request #395 from aldanor/feature/error-already-set-message
error_already_set improvements
2016-09-08 09:03:41 +09:00
Ivan Smirnov
984c762485 Use handle::is_none() instead of raw ptrs 2016-09-07 21:16:26 +01:00
Ivan Smirnov
f5e8b6d9cb Add handle::is_none() method 2016-09-07 21:16:19 +01:00
Ivan Smirnov
67b54894b2 Set error if it's not set in error_already_set() 2016-09-07 21:10:16 +01:00
Jason Rhinelander
c03db9bad9 Fail static_assert when trying to reference non-referencable types
The previous commit to address #392 triggers a compiler warning about
returning a reference to a local variable, which is *not* a false alarm:
the following:

    py::cast<int &>(o)

(which happens internally in an overload declaration) really is
returning a reference to a local, because the cast operators for the
type_caster for numeric types returns a reference to its own member.

This commit adds a static_assert to make that a compilation failure
rather than returning a reference into about-to-be-freed memory.

Incidentally, this is also a fix for #219, which is exactly the same
issue: we can't reference numeric primitives that are cast from
wrappers around python numeric types.
2016-09-07 16:07:59 -04:00
Ivan Smirnov
392f16ccb8 Properly format type name in error_already_set() 2016-09-07 20:36:28 +01:00
Jason Rhinelander
56f717756b Fix type caster for heap reference types
Need to use the intrinsic type, not the raw type.

Fixes #392.
2016-09-07 14:14:11 -04:00
Wenzel Jakob
8706fb9085 Intel compiler 2017 fix 2016-09-07 23:49:16 +09:00
Wenzel Jakob
6fd3132e81 Merge pull request #385 from jagerman/relax-class-arguments
Allow arbitrary class_ template option ordering
2016-09-07 23:49:00 +09:00
Jason Rhinelander
6b52c838d7 Allow passing base types as a template parameter
This allows a slightly cleaner base type specification of:

    py::class_<Type, Base>("Type")

as an alternative to

    py::class_<Type>("Type", py::base<Base>())

As with the other template parameters, the order relative to the holder
or trampoline types doesn't matter.

This also includes a compile-time assertion failure if attempting to
specify more than one base class (but is easily extendible to support
multiple inheritance, someday, by updating the class_selector::set_bases
function to set multiple bases).
2016-09-06 20:34:24 -04:00
Jason Rhinelander
5fffe200e3 Allow arbitrary class_ template option ordering
The current pybind11::class_<Type, Holder, Trampoline> fixed template
ordering results in a requirement to repeat the Holder with its default
value (std::unique_ptr<Type>) argument, which is a little bit annoying:
it needs to be specified not because we want to override the default,
but rather because we need to specify the third argument.

This commit removes this limitation by making the class_ template take
the type name plus a parameter pack of options.  It then extracts the
first valid holder type and the first subclass type for holder_type and
trampoline type_alias, respectively.  (If unfound, both fall back to
their current defaults, `std::unique_ptr<type>` and `type`,
respectively).  If any unmatched template arguments are provided, a
static assertion fails.

What this means is that you can specify or omit the arguments in any
order:

    py::class_<A, PyA> c1(m, "A");
    py::class_<B, PyB, std::shared_ptr<B>> c2(m, "B");
    py::class_<C, std::shared_ptr<C>, PyB> c3(m, "C");

It also allows future class attributes (such as base types in the next
commit) to be passed as class template types rather than needing to use
a py::base<> wrapper.
2016-09-06 12:22:13 -04:00
Wenzel Jakob
c84b37b577 fix bogus return value policy fallbacks (fixes #389) 2016-09-07 00:47:17 +09:00
Dean Moldovan
60b26802fd Make keyword argument hold a py::object instead of T*
With this change arg_t is no longer a template, but it must remain so
for backward compatibility. Thus, a non-template arg_v is introduced,
while a dummy template alias arg_t is there to keep old code from
breaking. This can be remove in the next major release.

The implementation of arg_v also needed to be placed a little earlier in
the headers because it's not a template any more and unpacking_collector
needs more than a forward declaration.
2016-09-06 16:41:50 +02:00
Dean Moldovan
8fe13b8896 Apply make_caster and intrinsic_t aliases everywhere 2016-09-06 16:41:50 +02:00
Dean Moldovan
56e86ed094 Workaround for py::dict() constructor on MSVC
MSVC fails to compile if the constructor is defined out-of-line.
The error states that it cannot deduce the type of the default template
parameter which is used for SFINAE.
2016-09-06 16:41:50 +02:00
Dean Moldovan
16db1bfbd7 Remove superseded handle::operator() overloads
The variadic handle::operator() offers the same functionality as well
as mixed positional, keyword, * and ** arguments. The tests are also
superseded by the ones in `test_callbacks`.
2016-09-06 16:41:50 +02:00
Dean Moldovan
15a112f8ff Add py::dict() keyword constructor 2016-09-06 16:41:50 +02:00
Dean Moldovan
66aa2728f4 Add py::str::format() method 2016-09-06 16:41:50 +02:00
Dean Moldovan
67990d9e19 Add py::print() function
Replicates Python API including keyword arguments.
2016-09-06 16:41:50 +02:00
Dean Moldovan
c743e1b1b4 Support keyword arguments and generalized unpacking in C++
A Python function can be called with the syntax:
```python
foo(a1, a2, *args, ka=1, kb=2, **kwargs)
```
This commit adds support for the equivalent syntax in C++:
```c++
foo(a1, a2, *args, "ka"_a=1, "kb"_a=2, **kwargs)
```

In addition, generalized unpacking is implemented, as per PEP 448,
which allows calls with multiple * and ** unpacking:
```python
bar(*args1, 99, *args2, 101, **kwargs1, kz=200, **kwargs2)
```
and
```c++
bar(*args1, 99, *args2, 101, **kwargs1, "kz"_a=200, **kwargs2)
```
2016-09-06 16:41:50 +02:00
Dean Moldovan
317524ffad Make arg_t hold a pointer instead of a copy of the value 2016-09-06 14:39:30 +02:00
Wenzel Jakob
146397ecf4 allow iterators with different RV policies (fixes #388) 2016-09-06 13:06:31 +09:00
Wenzel Jakob
fe34241e50 minor doc & style fixes 2016-09-06 13:02:29 +09:00
Sergey Lyskov
7520418e26 Adding bind_map 2016-09-05 17:11:16 -04:00
Wenzel Jakob
8ac9715f84 enum serialization support (fixes #380) 2016-09-05 17:20:50 +09:00
Wenzel Jakob
614988c875 Merge pull request #384 from jagerman/unique-ptr-non-default-deleters
Make unique_ptr's with non-default deleters work
2016-09-05 08:26:34 +09:00
Wenzel Jakob
cc4e4065b3 .. and another one 2016-09-05 08:25:10 +09:00
Jason Rhinelander
a6495af87a Make unique_ptr's with non-default deleters work
Currently pybind11 only supports std::unique_ptr<T> holders by default
(other holders can, of course, be declared using the macro).  PR #368
added a `py::nodelete` that is intended to be used as:

    py::class_<Type, std::unique_ptr<Type, py::nodelete>> c("Type");

but this doesn't work out of the box.  (You could add an explicit
holder type declaration, but this doesn't appear to have been the
intention of the commit).

This commit fixes it by generalizing the unique_ptr type_caster to take
both the type and deleter as template arguments, so that *any*
unique_ptr instances are now automatically handled by pybind.  It also
adds a test to test_smart_ptr, testing both that py::nodelete (now)
works, and that the object is indeed not deleted as intended.
2016-09-04 18:23:55 -04:00
Wenzel Jakob
f3be07c661 minor code style fixes 2016-09-04 23:03:48 +09:00
Wenzel Jakob
987be18fee Merge pull request #379 from nevion/buffer_info
Buffer info improvements
2016-09-04 23:02:20 +09:00
Jason Newton
10d46e7f73 explicitly delete copy-ctor and assignment operator 2016-09-02 18:39:47 -04:00
Jason Newton
4764698069 add move ctor and move-assignment operator 2016-09-02 18:37:13 -04:00
Jason Newton
514c6dad70 add field for ownership 2016-09-02 17:10:50 -04:00
Jason Newton
3718c38e68 default all fields in all ctors 2016-09-02 17:10:02 -04:00
Jason Rhinelander
2097826346 Fix template trampoline overload lookup failure
Problem
=======

The template trampoline pattern documented in PR #322 has a problem with
virtual method overloads in intermediate classes in the inheritance
chain between the trampoline class and the base class.

For example, consider the following inheritance structure, where `B` is
the actual class, `PyB<B>` is the trampoline class, and `PyA<B>` is an
intermediate class adding A's methods into the trampoline:

    PyB<B> -> PyA<B> -> B -> A

Suppose PyA<B> has a method `some_method()` with a PYBIND11_OVERLOAD in
it to overload the virtual `A::some_method()`.  If a Python class `C` is
defined that inherits from the pybind11-registered `B` and tries to
provide an overriding `some_method()`, the PYBIND11_OVERLOADs declared
in PyA<B> fails to find this overloaded method, and thus never invoke it
(or, if pure virtual and not overridden in PyB<B>, raises an exception).

This happens because the base (internal) `PYBIND11_OVERLOAD_INT` macro
simply calls `get_overload(this, name)`; `get_overload()` then uses the
inferred type of `this` to do a type lookup in `registered_types_cpp`.
This is where it fails: `this` will be a `PyA<B> *`, but `PyA<B>` is
neither the base type (`B`) nor the trampoline type (`PyB<B>`).  As a
result, the overload fails and we get a failed overload lookup.

The fix
=======

The fix is relatively simple: we can cast `this` passed to
`get_overload()` to a `const B *`, which lets get_overload look up the
correct class.  Since trampoline classes should be derived from `B`
classes anyway, this cast should be perfectly safe.

This does require adding the class name as an argument to the
PYBIND11_OVERLOAD_INT macro, but leaves the public macro signatures
unchanged.
2016-08-29 19:41:44 -04:00
Wenzel Jakob
5e4e477b8b minor fixes to PR #368 2016-08-28 02:03:15 +02:00
Wenzel Jakob
a3906778eb minor: renamed argument in array constructor 2016-08-28 01:55:07 +02:00
Nickolai Belakovski
6333825350 Added support for exposing classes with private destructors and corresponding documentation 2016-08-27 15:09:15 -07:00
Wenzel Jakob
324c9c521b minor Intel compiler fix 2016-08-26 16:52:45 +02:00
Ivan Smirnov
d8b11b8708 Fix dtype::strip_padding() on Intel compiler 2016-08-25 21:52:52 +01:00
Wenzel Jakob
9a777a263d numpy.h: fix test suite issues on the Intel Compiler 2016-08-25 02:18:00 +02:00
Wenzel Jakob
89f2db4596 Merge pull request #353 from aldanor/feature/generalized-iterators
Add support for iterators with different begin/end types
2016-08-25 01:47:38 +02:00
Wenzel Jakob
1ffce7422d Get pybind11 test suite to compile on the Intel compiler (more or less..)
- ICPC can't handle the NCVirt trampoline which returns a non-copyable
  type, which is likely due to a constexpr/SFINAE issue. This disables
  the test on that compiler so that at least the rest can be tested.
2016-08-25 01:43:35 +02:00
Ivan Smirnov
1c8828fe8f Fix int_ shadowing problem in detail namespace
If operators.h is included, int_ function in the `detail`
namespace will shadow pybind11::int_ type, so the fully qualified
name has to be used.
2016-08-25 00:33:02 +01:00
Ivan Smirnov
2b308e01f7 Add support for iterators with differing end type 2016-08-24 23:29:04 +01:00
Ivan Smirnov
c5a1c8a6b9 Don't require operator-> for key iterators 2016-08-24 23:27:19 +01:00
Wenzel Jakob
8de0437e46 type_caster<std::function>: allow None values in both directions 2016-08-18 11:18:12 +02:00
Glen Walker
f45bb585c3 Support keep_alive where nurse may be None
For example keep_alive<0,1>() should work where the return value may sometimes be None. At present a "Could not allocate weak reference!" exception is thrown.
Update documentation to clarify behaviour of keep_alive when nurse is None or does not support weak references.
2016-08-18 09:09:41 +12:00
Ivan Smirnov
6956b655f0 Simplify code in eigen.h using new array ctors 2016-08-15 18:41:54 +01:00
Ivan Smirnov
67b3daeea4 Always decay type param of npy_format_descriptor 2016-08-15 18:41:54 +01:00
Ivan Smirnov
edbd4cb0a7 Decay const qualifiers in is_pod_struct<> 2016-08-15 18:41:54 +01:00
Ivan Smirnov
03fb488579 format_descriptor::format() now yields std::string
This is required since format descriptors for string types that
were using PYBIND11_DESCR were causing problems on C++14 on Linux.

Although this is technically a breaking change, it shouldn't cause
problems since the only use of format strings is passing them to
buffer_info constructor which expects std::string.

Note: for non-structured types, the const char * value is still
accessible via ::value for compatibility purpose.
2016-08-15 00:40:29 +01:00
Ivan Smirnov
6715736936 Add handle::repr() method 2016-08-14 13:43:31 +01:00
Ivan Smirnov
7dcbfe228e Add a missing bytes ctor from const char * 2016-08-13 20:00:15 +01:00
Ivan Smirnov
c22fe428ed Change str/bytes cast operators to ctors 2016-08-13 19:39:11 +01:00
Ivan Smirnov
89ec7f3e79 Add (const char *, size_t) ctors for str/bytes 2016-08-13 19:38:50 +01:00
Ivan Smirnov
fd6cede7e9 Avoid extra allocations in operator str/bytes 2016-08-13 15:46:46 +01:00
Ivan Smirnov
61e3b0bd15 Use builtin str type for recarray field names 2016-08-13 12:51:31 +01:00
Ivan Smirnov
1cdd171fbc Add PYBIND11_STR_TYPE to represent builtin str 2016-08-13 12:51:31 +01:00
Ivan Smirnov
006d8b6621 Add casting operators between py::str / py::bytes 2016-08-13 12:51:31 +01:00
Ivan Smirnov
3768b6abf9 Use fully qualified name in PYBIND11_DESCR macro 2016-08-13 12:43:16 +01:00
Ivan Smirnov
ad5ca6d4e6 Added dtype from const char pointer ctor 2016-08-13 12:43:16 +01:00
Ivan Smirnov
c6257f8641 Allow nullptr in array ctors wherever possible 2016-08-13 12:43:16 +01:00
Ivan Smirnov
98ba98c06b Add a simplified buffer_info ctor for 1-D case 2016-08-13 12:43:16 +01:00
Ivan Smirnov
6636ae9d4e Also add the new ctors to py::array_t 2016-08-13 12:43:16 +01:00
Ivan Smirnov
6bb0ee1186 Add all possible ctors for py::array 2016-08-13 12:43:16 +01:00
Ivan Smirnov
d77bc8c343 Add dtype(names, offsets, formats, itemsize) ctor 2016-08-13 12:43:16 +01:00
Ivan Smirnov
fc5620afa6 Fix a segfault where func object wasn't released 2016-08-13 12:43:16 +01:00
Ivan Smirnov
01f7409550 Initial implementation of py::dtype 2016-08-13 12:43:16 +01:00
Ivan Smirnov
05cb58ade2 Cleanup: move numpy API bindings out of py::array 2016-08-13 12:43:16 +01:00
Ivan Smirnov
afb07e7e92 Code reordering / cleanup only 2016-08-13 12:43:16 +01:00
Ivan Smirnov
f9c0defed7 Add numpy wrappers for char[] and std::array<char> 2016-08-13 12:43:16 +01:00
Ivan Smirnov
103d5eadc3 Remove redundant definition 2016-08-13 12:43:16 +01:00
Ivan Smirnov
098f9aef73 Replace 4096B format buffer with std::string 2016-08-13 12:43:16 +01:00
Ivan Smirnov
b37985ee0c Fix a comment and wrong indentation 2016-08-13 12:43:16 +01:00
Ivan Smirnov
bf2510ee86 Make buffer_info::as_pybuffer a memoryview ctor 2016-08-13 12:43:16 +01:00
Ivan Smirnov
41c3399021 Update npy_format_descriptor::name() 2016-08-13 12:43:16 +01:00
Ivan Smirnov
076b953ccd Restore dtype equivalence sanity check 2016-08-13 12:43:16 +01:00
Ivan Smirnov
8f2f7cd61c Various cleanup 2016-08-13 12:43:16 +01:00
Ivan Smirnov
8fa09cb871 Strip padding fields in dtypes, update the tests 2016-08-13 12:43:16 +01:00
Ivan Smirnov
13022f1b8c Bugfix: pass struct size as itemsize to descriptor
Without this, partially bound structs will have incorrect itemsize.
2016-08-13 12:43:16 +01:00
Ivan Smirnov
eeb4c043f9 Change field descriptor offset type to size_t 2016-08-13 12:43:16 +01:00
Ivan Smirnov
511401599c Use malloc insterad of calloc for numpy arrays 2016-08-13 12:43:16 +01:00
Ivan Smirnov
5412a05cf0 Rename PYBIND11_DTYPE to PYBIND11_NUMPY_DTYPE 2016-08-13 12:43:16 +01:00
Ivan Smirnov
872bd92575 Use proper type for an int literal 2016-08-13 12:43:16 +01:00
Ivan Smirnov
4c9a160a1d Exclude double type from is_pod_struct 2016-08-13 12:43:16 +01:00
Ivan Smirnov
3b803846d5 Add a few comments throughout numpy.h 2016-08-13 12:43:16 +01:00
Ivan Smirnov
2f01f01866 Always allocate at least one element 2016-08-13 12:43:16 +01:00
Ivan Smirnov
b38ca22e94 Add a few braces for clarity 2016-08-13 12:43:16 +01:00
Ivan Smirnov
95545e6256 Change PB11_IMPL prefix to PYBIND11, add comment 2016-08-13 12:43:16 +01:00
Ivan Smirnov
7bdd74a9fb Fix PYBIND11_DTYPE to work with MSVC compiler 2016-08-13 12:43:16 +01:00
Ivan Smirnov
5dc6c5445d Cosmetic: fix indentation 2016-08-13 12:43:16 +01:00
Ivan Smirnov
73f56830f8 Add detail::is_pod_struct<T> helper 2016-08-13 12:43:16 +01:00
Ivan Smirnov
a0e37f250e npy_format_descriptor::format() - fail if unbound 2016-08-13 12:43:16 +01:00
Ivan Smirnov
5a47a16e47 Revert accidental whitespace change 2016-08-13 12:43:16 +01:00
Ivan Smirnov
40eadfeb73 Make npy_format_descriptor backwards-compat
The typenum for non-structured types is still accessible at ::value,
and the dtype object for all types is accessible at ::dtype().
2016-08-13 12:43:16 +01:00
Ivan Smirnov
95e9b12322 Prefix the FIELD_DESCRIPTOR macro 2016-08-13 12:43:16 +01:00
Ivan Smirnov
5e71e17bdf Make changes to format_descriptor backwards-compat
The format strings that are known at compile time are now accessible
via both ::value and ::format(), and format strings for everything
else is accessible via ::format(). This makes it backwards compatible.
2016-08-13 12:43:16 +01:00
Ivan Smirnov
4f164217e4 Add dtype_of<T>() function, update the tests 2016-08-13 12:43:16 +01:00
Ivan Smirnov
036e8cd32f Remove erroneous py:: prefix in numpy.h 2016-08-13 12:43:16 +01:00
Ivan Smirnov
873d267471 Prefix all macros in numpy.h to avoid name clashes 2016-08-13 12:43:16 +01:00
Ivan Smirnov
1f54cd9209 Use object instead of ptrs in numpy descriptors 2016-08-13 12:43:16 +01:00
Ivan Smirnov
2a7acb6d55 Incref descriptors properly when creating arrays 2016-08-13 12:43:16 +01:00
Ivan Smirnov
f5b166d042 Simplify npy_format_descriptor slightly 2016-08-13 12:43:16 +01:00
Ivan Smirnov
80a3785a66 Borrow field descriptors for recarray dtype 2016-08-13 12:43:16 +01:00
Ivan Smirnov
2e1565e414 Add empty recarray test, check for calloc fail 2016-08-13 12:43:16 +01:00
Ivan Smirnov
f10c84eb9b Release format descriptor args before converting 2016-08-13 12:43:16 +01:00
Ivan Smirnov
2488b32066 Add PYBIND11_DTYPE macro for registering dtypes 2016-08-13 12:43:16 +01:00
Ivan Smirnov
fab02efb10 Switch away from typenums for numpy descriptors 2016-08-13 12:43:16 +01:00
Ivan Smirnov
a67c2b52e4 Use memoryview for constructing array from buffer 2016-08-13 12:43:16 +01:00
Ivan Smirnov
ea2755ccdc Use a macro for numpy API definitions 2016-08-13 12:43:16 +01:00
Ivan Smirnov
7709d6b77d Add memoryview type 2016-08-13 12:43:16 +01:00
Ivan Smirnov
42ad328481 Change format_descriptor::value to a static func 2016-08-13 12:43:16 +01:00
Ivan Smirnov
a7e62e1ca6 Add buffer_info::as_pybuffer() method 2016-08-13 12:43:16 +01:00
Ivan Smirnov
3dd325b772 Change npy_format_descriptor typenum to static fn 2016-08-13 12:43:16 +01:00
Jason Rhinelander
5aa85be26e Added pybind11::make_key_iterator for map iteration
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.
2016-08-11 21:22:05 -04:00
Jason Rhinelander
e20fc61a33 Silence MSVC warning
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.
2016-08-11 16:23:23 -04:00
Jason Rhinelander
f2ecd8927e Implement reference_internal with a keep_alive
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.
2016-08-10 12:08:04 -04:00
Jason Rhinelander
1b05ce5bc0 Track registered instances that share a pointer address
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).
2016-08-09 17:57:59 -04:00
Jason Rhinelander
ed14879a19 Move support for return values of called Python functions
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.
2016-08-08 13:47:37 -04:00
Dean Moldovan
cb6cd6954b Fix signedness warnings 2016-08-05 00:06:28 +02:00
Dean Moldovan
ed23dda93b Adopt PEP 484 type hints for C++ types exported to Python 2016-08-04 23:47:07 +02:00
Dean Moldovan
ecced6c5ae Use generic arg names for functions without explicitly named arguments
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:
  " : " => ": "
  " = " => "="
2016-08-04 23:45:24 +02:00
Jason Rhinelander
9ffb3dda5f Eigen support for special matrix objects
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.
2016-08-04 15:24:41 -04:00
Wenzel Jakob
19637536ac Merge pull request #315 from jagerman/eigen-stride-fix
Fix eigen copying of non-standard stride values
2016-08-04 19:47:17 +02:00
Jason Rhinelander
8657f3083a Fix eigen copying of non-standard stride values
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.
2016-08-04 13:21:39 -04:00
Jason Rhinelander
d41a273031 Only support ==/!= int on unscoped enums
This makes the Python interface mirror the C++ interface:
pybind11-exported scoped enums aren't directly comparable to the
underlying integer values.
2016-08-04 00:21:37 -04:00
Jason Rhinelander
613541947a Fix scoped enums and add scoped enum example
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.
2016-08-04 00:01:39 -04:00
Jason Rhinelander
5fd5074a0b Add support for Eigen::Ref<...> function arguments
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.
2016-08-03 16:50:22 -04:00
Pim Schellart
3d079fbd54 Fix zero valued enum comparison error 2016-08-03 10:36:22 -04:00
Pim Schellart
e5b42ef1fe Enable comparisons between enums and their underlying types 2016-08-02 11:33:48 -04:00
Trygve Laugstøl
3572bc3e82 Changes accessor::operator=() to throw error_already_set() instead of using pybind11_fail().
PyObject_SetItem and PyObject_SetAttr both throws an exception on
failure so this will show the underlying exception instead of masking
it.

Fixes #303.
2016-08-01 08:45:16 +02:00
Wenzel Jakob
a771e362df check for NOMINMAX issue on windows (fixes #291) 2016-07-19 17:47:59 +02:00
Wenzel Jakob
4a87933be9 descr<> fix for int-to-string conversion 2016-07-19 11:59:37 +02:00
Wenzel Jakob
1f66a58427 pybind11.h: minor cleanups (no functionality change) 2016-07-18 10:47:10 +02:00
Wenzel Jakob
6969e7c1ba exception handler tweaks (fixes #284) 2016-07-18 10:46:41 +02:00
Jason Rhinelander
4e45e1805b Fix #283: don't print first arg of constructor
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.
2016-07-17 17:47:05 -04:00
Wenzel Jakob
a720a6046e updated changelog with v1.8.1, updated release instructions 2016-07-12 18:03:17 +02:00
Wenzel Jakob
c47d498c35 fix rare GC issue during type creation (fixes #277) 2016-07-11 23:41:15 +02:00
Wenzel Jakob
3c6ada3a48 Merge pull request #273 from lsst-dm/master
Add support for user defined exception translators
2016-07-11 23:38:21 +02:00
Pim Schellart
5a7d17ff16 Add support for user defined exception translators 2016-07-11 17:33:04 -04:00
Wenzel Jakob
954b7932fe avoid C++ -> Python -> C++ overheads when passing around function objects 2016-07-10 10:44:44 +02:00
Wenzel Jakob
5ba89c340c quench warnings in eigen.h 2016-07-09 15:44:54 +02:00
Wenzel Jakob
678d59d21f Python 2.7 fixes for eval() 2016-07-08 15:14:48 +02:00
Wenzel Jakob
464c43513e further eval() improvements 2016-07-08 15:08:30 +02:00
Wenzel Jakob
dc13cf0e54 quench warning on windows 2016-07-08 11:07:02 +02:00
Wenzel Jakob
0d3fc3566a complete rewrite of eval/exec patch 2016-07-08 10:52:10 +02:00
Klemens Morgenstern
c6ad2c4993 added exec functions 2016-07-08 10:05:24 +02:00
Jason Rhinelander
0b12f91fa3 Only disable placement-new warning under gcc >= 6
Otherwise this would create unknown option warnings under g++ < 6.
2016-07-07 16:26:04 -04:00
Jason Rhinelander
cae0e00947 Disable -Wplacement-new warning false alarm
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.
2016-07-07 16:11:42 -04:00
Jason Rhinelander
4609beb46e Merge remote-tracking branch 'upstream/master' into ternary-description 2016-07-06 00:49:49 -04:00
Jason Rhinelander
8469f751cb Add _<bool>("s1", "s2") ternary & use TYPE_CASTER
This commit adds an additional _ template function for compile-time
selection between two description strings.  This in turn allows the
elimination of needing two name() methods in type_caster<arithmetic
types> and type_caster<eigen types>, which allows them to start using
PYBIND11_TYPE_CASTER instead, simplifying their code by eliminating all
the code that they are duplicating from the macro.
2016-07-06 00:40:54 -04:00
Ben North
93594a3857 Fix handling of one-dimensional input arrays
In eigen.h, type_caster<Type>::load():  For the 'ndim == 1' case, use
the 'InnerStride' type because there is only an inner stride for a
vector.  Choose between (n_elts x 1) or (1 x n_elts) according to
whether we're constructing a Vector or a RowVector.
2016-07-05 21:13:24 +01:00
Merlin Nimier-David
68ca3b6343 more informative error message when py::make_tuple fails 2016-07-01 20:35:35 +02:00
Wenzel Jakob
0006259508 switched internal usage of cast_error exception to reference_cast_error 2016-07-01 16:07:35 +02:00
Wenzel Jakob
472ffbba96 more informative error message when py::cast fails 2016-07-01 16:07:24 +02:00
hbruintjes
70d2e57b09 Cast to derived holder using container type when using std::enable_shared_from_this.
Allows const types to be used by shared_ptr
2016-07-01 12:39:55 +02:00
Wenzel Jakob
2353b9b8fa quench C4459 warning on MSVC2015 2016-06-27 16:05:46 +02:00
Wenzel Jakob
37e1f61f54 allow passing a 'return value policy' to handle::operator() 2016-06-22 14:29:13 +02:00
Wenzel Jakob
4a53d38bd4 only deprecate call() function if C++14 is available 2016-06-22 14:02:27 +02:00
Ivan Smirnov
daed1abc9c Switch to using prefix increment in make_iterator 2016-06-17 22:50:34 +01:00
Ivan Smirnov
3ae5bd787f Remove extraneous semicolon (-pedantic warning) 2016-06-17 22:29:10 +01:00
Jerry Gamache
b8f2d1886c Remove unnecessary braces. 2016-06-15 12:55:34 -04:00
Jerry Gamache
c6e0cdfa54 Allow pybind11::arg to have 0, false, or "" as default values. 2016-06-15 12:48:15 -04:00
Wenzel Jakob
f85c52901e starting to work on release v1.9 2016-06-14 15:24:47 +02:00
Dean Moldovan
9e62558d52 Check the number of named arguments at compile time 2016-06-04 00:27:32 +02:00
Dean Moldovan
96017dd7cd Add _a literal for named arguments 2016-06-03 23:15:22 +02:00
Wenzel Jakob
7c99ff2a00 fix segfault when passing a docstring to def_property* (fixes #222) 2016-06-02 20:34:01 +02:00
Dean Moldovan
f2b36c2ed2 Fix a couple of warnings
- Conversion warning on clang: 'long' to 'size_t'
- Unused variable warning on MSVC
2016-06-01 23:48:23 +02:00
Wenzel Jakob
38d8b8cfe2 don't allow registering a class twice (fixes #218) 2016-05-31 09:53:28 +02:00
Wenzel Jakob
5eda97d7e4 gcc fix 2016-05-30 11:45:02 +02:00
Wenzel Jakob
b569272127 quench some Eigen-related warnings 2016-05-30 11:37:07 +02:00
Wenzel Jakob
5dd33d880d fix issues with std::vector<bool> overload in STL (fixes #216) 2016-05-30 11:28:21 +02:00
Wenzel Jakob
0a07805ab6 fixed many conversion warnings on clang 2016-05-29 13:40:40 +02:00
Wenzel Jakob
c48da92561 Merge branch 'cygwin' of https://github.com/BorisSchaeling/pybind11 into BorisSchaeling-cygwin 2016-05-29 12:46:21 +02:00
Boris Schäling
20ee935203 Use decltype to deduce return type of PyThread_create_key 2016-05-28 12:26:18 +02:00
Boris Schäling
8965644536 Make examples build and run on Cygwin 2016-05-26 22:42:07 +02:00
Wenzel Jakob
69e1a5c91b quenched warnings on windows, comments in gil_scoped_release 2016-05-26 14:29:31 +02:00
Wenzel Jakob
86d825f330 Redesigned virtual call mechanism and user-facing syntax (breaking change!)
Sergey Lyskov pointed out that the trampoline mechanism used to override
virtual methods from within Python caused unnecessary overheads when
instantiating the original (i.e. non-extended) class.

This commit removes this inefficiency, but some syntax changes were
needed to achieve this. Projects using this features will need to make a
few changes:

In particular, the example below shows the old syntax to instantiate a
class with a trampoline:

class_<TrampolineClass>("MyClass")
    .alias<MyClass>()
    ....

This is what should be used now:

class_<MyClass, std::unique_ptr<MyClass, TrampolineClass>("MyClass")
    ....

Importantly, the trampoline class is now specified as the *third*
argument to the class_ template, and the alias<..>() call is gone. The
second argument with the unique pointer is simply the default holder
type used by pybind11.
2016-05-26 13:36:24 +02:00
Wenzel Jakob
60abf299c6 minor cleanups in pytypes.h 2016-05-26 10:47:11 +02:00
Yung-Yu Chen
114bfeb762 pybind11::args should have been derived from tuple
args was derived from list, but cpp_function::dispatcher sends a tuple to it->impl (line #346 and #392 in pybind11.h).  As a result args::size() and args::operator[] don't work at all.  On my mac args::size() returns -1.  Making args a subclass of tuple fixes it.
2016-05-25 21:09:35 +08:00
Wenzel Jakob
1e3be73a52 PYBIND11_OVERLOAD_NAME and PYBIND11_OVERLOAD_PURE_NAME (fixes #205) 2016-05-24 23:42:14 +02:00
Wenzel Jakob
b437867338 eigen.h: relax access to members 2016-05-24 21:40:03 +02:00
Andreas Bergmeier
16d4394845 Increase available information on invocation error. 2016-05-24 09:19:44 +02:00
Wenzel Jakob
a970a579b2 eigen.h: return compile time vectors as 1D NumPy arrays 2016-05-20 12:01:03 +02:00
Wenzel Jakob
b47a9de035 ability to prevent force casts in numpy arguments 2016-05-19 16:02:09 +02:00
Sergey Lyskov
065526a369 Refactoring bind_vector to take std::string to avoid capture of potentially temporary char const * when calling vector_if_insertion_operator 2016-05-17 23:30:58 -04:00
Wenzel Jakob
3f200fab22 don't implicitly convert doubles to ints 2016-05-17 15:35:29 +02:00
Wenzel Jakob
d1bfc4e0f8 support __bool__ on Python 2.x and 3.x 2016-05-16 18:52:50 +02:00
Wenzel Jakob
00c7d6ccc7 Merge branch 'stl_bind' 2016-05-16 12:33:20 +02:00
Wenzel Jakob
25c03cecfa stl_bind redesign & cleanup pass 2016-05-16 12:12:58 +02:00
Wenzel Jakob
affb9f40c5 quench conversion warnings on windows 2016-05-16 00:04:20 +02:00
Wenzel Jakob
deeab558ba quench strict aliasing warnings 2016-05-16 00:04:20 +02:00
Wenzel Jakob
a380ed9259 consider __setstate__ as a constructor 2016-05-16 00:04:17 +02:00
Sergey Lyskov
26aca3d8ad Adding vector ’extend’ member function 2016-05-15 20:46:07 +02:00
Sergey Lyskov
9ee4f92b06 Refactoring vector_binder so it now a function 2016-05-15 20:46:07 +02:00
Sergey Lyskov
2de5af998d Adding workarounds for MSVC 2015 2016-05-15 20:46:07 +02:00
Sergey Lyskov
7b50cbd870 Fixing VC build, apparently MSVC implementation of std::is_default_constructible had no bool() operator 2016-05-15 20:46:07 +02:00
Sergey Lyskov
a95bde1ea5 Adding documentation for value_error. Fixing various formatting issues. Removing redundant binding for C++ style methods. Adding bindings for iterator and slicing protocol. Extending examples. 2016-05-15 20:46:07 +02:00
Sergey Lyskov
25ac21903a properly adding value_error exception 2016-05-15 20:46:07 +02:00
Sergey Lyskov
a315c7a25a Adding Python-style modifiers for vector. Wrapping has_insertion_operator_implementation in _MSC_VER ifdef’s. Adding ‘!=0’ instead of bool cast’s. 2016-05-15 20:46:07 +02:00
Sergey Lyskov
eae7744c0e adding stl_binders 2016-05-15 20:46:07 +02:00
Wenzel Jakob
178c8a899d nicer type_caster::load() calling conventions 2016-05-15 20:23:27 +02:00
Wenzel Jakob
5984baafd0 redesigned cpp_function constructor; significant space savings 2016-05-15 20:23:27 +02:00
Johan Mabille
a63d93ba44 constructor fix 2016-05-11 15:03:16 +02:00
Johan Mabille
a580ed8c47 Compilation issue fixed 2016-05-11 14:45:01 +02:00
Wenzel Jakob
6c03beb867 enable *args and **kwargs notation (closes #190) 2016-05-08 14:34:09 +02:00
Wenzel Jakob
e611823e4c quench warning on osx 2016-05-05 21:54:30 +02:00
Wenzel Jakob
9e0a0568fe transparent conversion of dense and sparse Eigen types 2016-05-05 21:44:29 +02:00
Wenzel Jakob
f1032df891 only do numpy contiguous C/Fortran array conversion when explicitly requested 2016-05-05 10:00:00 +02:00
Wenzel Jakob
876eeab4ca redesigned format_descriptor<> and npy_format_descriptor<>
This somewhat heavyweight solution will avoid size_t/long long/long/int
mismatches on various platforms once and for all. The previous template
overloads could e.g. not handle size_t on Darwin.

One gotcha: the 'format_descriptor<T>::value()' syntax changed to just
'format_descriptor<T>::value'
2016-05-04 22:36:57 +02:00
Wenzel Jakob
ad69634907 minor cleanups 2016-05-03 13:36:32 +02:00
Wenzel Jakob
aadc2f3d8c cast(): use cast_op_type mechanism 2016-05-03 13:27:57 +02:00
Wenzel Jakob
6d2529613a fix incorrect in macro if statement 2016-05-01 20:47:49 +02:00
Wenzel Jakob
bd57eb484d don't try to cast 'None' into a C++ lvalue reference 2016-05-01 14:42:20 +02:00
Wenzel Jakob
6fb48490ef fix crash when None is passed to enum::operator== 2016-05-01 12:45:38 +02:00
Wenzel Jakob
2bc946bd7a copy/move constructor detection workaround (MSVC 2015 bug) 2016-05-01 10:28:00 +02:00
Wenzel Jakob
5612a0c1c2 generalized str::operator std::string() to accept 'bytes'(3.x)/'string'(2.7) 2016-05-01 00:32:18 +02:00
Wenzel Jakob
fc92d82bba added [[noreturn]] attribute to pybind11_fail 2016-04-30 23:55:44 +02:00
Wenzel Jakob
8edfa0c10f further simplifications to shared_ptr caster 2016-04-30 23:01:06 +02:00
Wenzel Jakob
ffd85b46d8 return value policy fix for functions returning std::shared_ptr<> (fixes #187) 2016-04-30 22:41:05 +02:00
Wenzel Jakob
c4d7ccd8b0 started working on v1.8 2016-04-30 22:00:44 +02:00
Wenzel Jakob
e70b2abb6d preparing for v1.7 release 2016-04-30 22:00:24 +02:00
Wenzel Jakob
1959d18c48 fixed return value type in py::make_iterator 2016-04-30 21:42:17 +02:00
Wenzel Jakob
772c6d54d6 enable passing C++ instances to void*-valued arguments 2016-04-30 21:28:45 +02:00
Wenzel Jakob
e8b9dd263c fixed docstring generation for void pointers 2016-04-30 19:35:24 +02:00
Wenzel Jakob
fd7cf51a56 enabled casting of const void* 2016-04-30 19:25:37 +02:00
Wenzel Jakob
06f56ee1e9 opaque type redesign 2016-04-28 17:49:46 +02:00
Wenzel Jakob
6ca6e82f7c fix various iterator issues (fixes #181) 2016-04-27 14:33:52 +02:00
Wenzel Jakob
a01977ec96 pytypes noexcept annotations 2016-04-27 02:39:36 +02:00
Wenzel Jakob
e84f557edf documentation improvements 2016-04-26 23:48:55 +02:00
Wenzel Jakob
19dfc50d10 is_move_constructible simplification 2016-04-25 23:49:03 +02:00
Wenzel Jakob
f7b5874ca3 new move value policy 2016-04-25 23:04:27 +02:00
Wenzel Jakob
fbafdea672 a few more GIL-related compatibility fixes 2016-04-25 17:48:56 +02:00
Wenzel Jakob
17b10d7cbf functional.h: acquire GIL before calling Python function 2016-04-25 09:17:41 +02:00
Wenzel Jakob
2f6662e174 Python 2.7.x fixes for new gil_scoped_release 2016-04-25 09:16:41 +02:00
Wenzel Jakob
084ca0e553 compilation fixes 2016-04-25 04:00:47 +02:00
Wenzel Jakob
39e97e6a49 significant redesign of GIL state handling 2016-04-25 03:27:32 +02:00
Wenzel Jakob
18fb3e323a added a pybind11::none class 2016-04-25 03:27:32 +02:00
Wenzel Jakob
9b880ba743 keep_alive: don't fail when there is no patient 2016-04-25 03:26:36 +02:00
Wenzel Jakob
7d0162a2df minor cleanups 2016-04-25 03:26:35 +02:00
Wenzel Jakob
7ca2755880 new type wrapper for iterable objects 2016-04-22 09:33:19 +02:00
Wenzel Jakob
54b6fdd43d starting work on the v1.6 release 2016-04-21 12:29:17 +02:00
Wenzel Jakob
dbe43ffcce completed implicit type casters for reference_wrapper 2016-04-21 12:21:14 +02:00
Wenzel Jakob
f54ded74f1 added caster for std::reference_wrapper (fixes #171) 2016-04-20 17:00:57 +02:00
Wenzel Jakob
e65e58716e slight generalization of cast_op_type 2016-04-18 21:22:22 +02:00
Wenzel Jakob
8cb6cb33ef minor cleanups in common.h; updated author info and copyright year 2016-04-18 10:53:38 +02:00
Wenzel Jakob
bf0c7dcc22 convenience overload for make_iterator() 2016-04-18 10:52:12 +02:00
Wenzel Jakob
1dc940d4b7 quenched -pendantic warnings (closes #167) 2016-04-18 10:41:44 +02:00
Wenzel Jakob
b2b44a9af8 fix for virtual dispatch on newly created threads 2016-04-15 17:59:53 +02:00
Wenzel Jakob
8bd31c71e4 New automatic return value policy for cat() and make_tuple(), fixed an ambiguity issue 2016-04-14 15:00:30 +02:00
Wenzel Jakob
b282595bba convenience wrapper for constructing iterators (fixes #142) 2016-04-14 00:23:37 +02:00
Wenzel Jakob
5a6aa49105 Added len() function 2016-04-13 22:48:05 +02:00
Wenzel Jakob
d7efa4ff7b return best representation of polymorphic types (fixes #105) 2016-04-13 13:51:33 +02:00
Wenzel Jakob
1c329aab5a pickling support (fixes #144) 2016-04-13 02:58:56 +02:00
Wenzel Jakob
505466ff0e added variadic make_tuple() function 2016-04-13 02:49:03 +02:00
Wenzel Jakob
f5c154ade9 address issue with virtual function dispatch (fixes #159) 2016-04-11 18:13:08 +02:00
Wenzel Jakob
95dc0695b7 starting work on version 1.5 2016-04-07 08:59:15 +02:00
Wenzel Jakob
9f0dfce84b returning unique pointers is now allowed 2016-04-06 17:38:18 +02:00
Wenzel Jakob
a3ee1a4591 improved pair type caster (fixes #155) 2016-04-06 11:51:00 +02:00
Wenzel Jakob
912feec119 improve debug error message when default parameter construction fails 2016-04-01 12:17:10 +02:00
Wenzel Jakob
b90e68de7e another corner case (fixes #151) 2016-03-27 00:19:32 +01:00
Wenzel Jakob
08927e9809 tabs->spaces 2016-03-26 23:38:46 +01:00
Wenzel Jakob
9883ec01d7 allow nullptr string values (closes #138) 2016-03-26 23:37:51 +01:00
Wenzel Jakob
7393343f69 removed unnecessary code 2016-03-26 23:04:40 +01:00
Wenzel Jakob
d3349af48b modularized logic in preceding change, fixed issue with char (fixes #150) 2016-03-26 23:04:10 +01:00
Wenzel Jakob
0772967ecf allow nullptr when passing void* values 2016-03-26 20:41:28 +01:00
Wenzel Jakob
de1bca864e added feature to pass void* pointers by popular demand 2016-03-26 17:51:09 +01:00
Wenzel Jakob
12cf543804 address compilation issue in MSVC 2016-03-26 17:29:33 +01:00
Wenzel Jakob
048373c1b4 explicitly route type casting operations to desired casting operator (fixes #147) 2016-03-26 17:21:19 +01:00
Wenzel Jakob
0b4895885b improve default parameters for properties 2016-03-25 16:13:10 +01:00
Wenzel Jakob
84ec78feeb minor redesign/generalization of def_property mechanism 2016-03-21 17:54:24 +01:00
Wenzel Jakob
eda978e003 support for opaque types 2016-03-15 15:07:55 +01:00
Ben Pritchard
1b52246f5d Better testing for callable python functions 2016-03-10 16:31:38 -05:00
Wenzel Jakob
17cdb06c1b fix severe regression involving character arrays (fixes #137) 2016-03-10 13:24:10 +01:00
Wenzel Jakob
eb5277b38e Merge pull request #119 from SylvainCorlay/docstring
Signature formatting for sphinx
2016-03-09 16:37:44 +01:00
Sylvain Corlay
4c7bf9bb94 Add return type 2016-03-08 18:44:04 -05:00
Sylvain Corlay
0e04fdf3f6 Add generic signature for overloads 2016-03-08 17:22:22 -05:00
Sylvain Corlay
13b22bf4f6 Signature formatting for sphinx 2016-03-08 16:06:05 -05:00
Wenzel Jakob
81dfd2c51f Working type casters for wide strings and wide characters 2016-03-08 20:48:07 +01:00
Wenzel Jakob
504f7553e3 starting to work on next version 2016-03-08 18:12:24 +01:00
Wenzel Jakob
309a85ba59 support std::shared_ptr<const X> and types that indirectly derive from std::enable_shared_from_this 2016-03-08 17:59:10 +01:00
Wenzel Jakob
77586fd6a2 add version suffix to internal pybind11 data structures to avoid conflicts with future versions 2016-03-06 13:50:26 +01:00
Wenzel Jakob
bce8a4b95c force explicit cast (fixes #130) 2016-03-06 13:30:23 +01:00
Ben Pritchard
f4902ece17 Use emplace for casting to map 2016-03-05 17:36:46 -05:00
Wenzel Jakob
52f4c3aef3 handle nullptr arguments with custom holder types (fixes #124) 2016-03-03 14:05:06 +01:00
hulucc
a88334f9c2 add wchar_t caster 2016-03-02 15:07:08 +08:00
hulucc
c8f68b3d92 add wstring caster 2016-03-02 13:59:39 +08:00
Wenzel Jakob
218b6ce246 Revert "trim docstrings (closes #112)"
This reverts commit b3ef54a544.
2016-02-28 23:52:37 +01:00
Johan Mabille
25dd4789a8 Python overloading of virtual functions defined in class template 2016-02-28 23:26:29 +01:00
Wenzel Jakob
b3ef54a544 trim docstrings (closes #112) 2016-02-24 13:49:04 +01:00
Wenzel Jakob
4a50fa5cd4 Address issue with handle::cast<bool>(), quench warning in example 12 (fixes #110) 2016-02-23 23:51:01 +01:00
Wenzel Jakob
347e6eaf68 allow a broader set of types in STL containers 2016-02-23 17:37:10 +01:00
Wenzel Jakob
82ba330080 stl.h: transparent conversion of STL linked lists 2016-02-23 17:28:45 +01:00
Wenzel Jakob
a3861b54c4 type_caster_generic::load(): accept Py_None as input 2016-02-23 13:37:14 +01:00
Wenzel Jakob
d6e4cef65f minor formatting changes, removed missing header files referenced in setup.py 2016-02-20 12:17:17 +01:00
Wenzel Jakob
5e31d891fc Merge pull request #102 from jmabille/vectorize 2016-02-20 12:15:31 +01:00
Johan Mabille
1dc960c37f NumPy-style broadcasting support in pybind11::vectorize 2016-02-20 12:14:52 +01:00
Ben Pritchard
33f3430d0c Add intel warning push/pop 2016-02-18 15:25:51 -05:00
Ben Pritchard
2de6e1d142 Remove some unnecessary semicolons (compilers warn on higher levels) 2016-02-18 13:20:15 -05:00
Ben Pritchard
70ee47ddcf Add Intel to cmake file. Supress Intel inline/noinline warning 2016-02-18 13:06:43 -05:00
Ben Pritchard
0b6cff3d1d Fixes for compilation/segfault problems with Intel (issue 94) 2016-02-18 12:38:27 -05:00
Wenzel Jakob
f8584b630b quench some warnings in operators.h 2016-02-16 13:36:04 +01:00
Wenzel Jakob
0880294924 support unordered set/map data structures (fixes #100) 2016-02-13 00:22:26 +01:00
Wenzel Jakob
4fee179900 better debug info when arg::operator=() fails 2016-02-09 11:31:20 +01:00
Wenzel Jakob
4f8902a931 starting development cycle for v1.3 2016-02-07 17:33:12 +01:00
Wenzel Jakob
8ed2808239 pybind11, version 1.2 2016-02-07 17:32:37 +01:00
Wenzel Jakob
10c74c6f34 transparent std::array conversion (fixes #97) 2016-02-07 16:36:51 +01:00
Wenzel Jakob
1f7a8096b7 support for string default arguments specified as static arrays 2016-02-07 13:29:17 +01:00
Wenzel Jakob
e206564ebf removed a redundant tag 2016-02-04 23:29:29 +01:00
Wenzel Jakob
a65017902e set __module__ attribute of functions (fixes #95) 2016-02-04 23:03:58 +01:00
Wenzel Jakob
b6cf75d66a address issue with std::type_info across module boundaries (fixes #86) 2016-01-29 11:39:32 +01:00
Felipe Lema
2547ca468c deal with Python versions compiled without thread support (fixes #81) 2016-01-28 18:16:42 +01:00
Wenzel Jakob
15f6a0030e enum comparison and conversion operations (closes #80) 2016-01-24 14:05:12 +01:00
Wenzel Jakob
fa92f6796f Merge pull request #76 from ax3l/fix-unusedVar
Close #69 Unused Var: Warning
2016-01-21 19:03:51 +01:00
Axel Huebl
30214adc0a Fix #75 <complex> may define macro I
Fix #75 as described by undefining the macro `I` from `<complex>`
if defined (as in `glibc`).

This seems to be the only include of it.
2016-01-21 17:44:43 +01:00
Axel Huebl
2dd5e3bc2a Close #69 Unused Var: Warning
Close #69
[This](http://stackoverflow.com/a/3418951)
stackoverflow post recommended
[that](http://herbsutter.com/2009/10/18/mailbag-shutting-up-compiler-warnings/)
Herb Sutter blog post with a general and portable solution and it
works great! :)
2016-01-21 17:18:47 +01:00
Wenzel Jakob
80a06745d3 hopefully final(?) adjustment to detail::is_copy_constructible (fixes #70) 2016-01-20 11:34:07 +01:00
Wenzel Jakob
b670b77060 minor adjustment to detail::is_copy_constructible (fixes #70) 2016-01-20 01:26:43 +01:00
Wenzel Jakob
88d1d04132 another attempt to fix the offsetof warnings 2016-01-20 01:26:42 +01:00
Axel Huebl
7cd569c703 Fix Compile Error: str Naming
This fixes a build error compiling with `nvcc/7.5` + `gcc/4.9.2`
causing a
```
./include/pybind11/pybind11.h(952): here

./include/pybind11/pytypes.h: In member function ‘pybind11::str pybind11::handle::str() const’:
./include/pybind11/pytypes.h:269:8: error: expected primary-expression before ‘class’
     return pybind11::str(str, false);
        ^
./include/pybind11/pytypes.h:269:8: error: expected ‘;’ before ‘class’
./include/pybind11/pytypes.h:269:8: error: expected primary-expression before ‘class’
```
2016-01-19 01:26:52 +01:00
Wenzel Jakob
260bc58f57 improved SFINAE in type_caster_generic (closes #70) 2016-01-18 22:15:20 +01:00
Wenzel Jakob
92b2f452f0 fix regression in stl.h 2016-01-18 22:15:20 +01:00
Wenzel Jakob
2983d5e1de quench warnings (closes #69) 2016-01-18 22:15:16 +01:00
Wenzel Jakob
48548ea4a5 general cleanup of the codebase
- new pybind11::base<> attribute to indicate a subclass relationship
- unified infrastructure for parsing variadic arguments in class_ and cpp_function
- use 'handle' and 'object' more consistently everywhere
2016-01-17 22:31:15 +01:00
Wenzel Jakob
1ae77fe4d3 added a changelog file and version defines 2016-01-17 22:31:15 +01:00
Wenzel Jakob
53b26549d0 python 3.2 compatiblity (closes #56) 2016-01-17 22:31:15 +01:00
Wenzel Jakob
ba0732e7dc fixed a terrible bug in def_property_static and switched to the faster PyObject_CallFunctionObjArgs API call 2016-01-17 22:31:15 +01:00
Wenzel Jakob
678d787ca4 do more work with classes from pytypes.h (especially for STL container casting) 2016-01-17 22:31:15 +01:00
Wenzel Jakob
d561cb010c fully moved __pybind11__ Python attributes to the C++ side, cleanup & documentation pass over the main header file 2016-01-17 22:31:15 +01:00
Wenzel Jakob
e45b29047a numpy.h: fixed a leak, added some comments to buffer_info 2016-01-17 22:31:15 +01:00
Wenzel Jakob
d33361a6d7 moved lifetime management of Py_buffer to pybind11::buffer_info, renamed count->size to match NumPy naming (fixes #34) 2016-01-17 22:31:15 +01:00
Wenzel Jakob
95d18691c9 minor fixes & removed a leak when freeing functions 2016-01-17 22:31:15 +01:00
Wenzel Jakob
b2c2c79240 improved handling of shared/smart pointers
Previously, pybind11 required classes using std::shared_ptr<> to derive
from std::enable_shared_from_this<> (or compilation failures would ensue).

Everything now also works for classes that don't do this, assuming that
some basic rules are followed (e.g. never passing "raw" pointers of
instances manged by shared pointers). The safer
std::enable_shared_from_this<> approach continues to be supported.
2016-01-17 22:31:15 +01:00
Wenzel Jakob
2ca07de83c minor fix for PYBIND11_OBJECT_CVT 2016-01-17 22:31:15 +01:00
Wenzel Jakob
5f218b3f2c keep_alive call policy (analogous to Boost.Python's with_custodian_and_ward, fixes #62) 2016-01-17 22:31:15 +01:00
Wenzel Jakob
87187afe91 switch NumPy array to object API, avoid unnecessary copy operation in vectorize 2016-01-17 22:31:15 +01:00
Wenzel Jakob
87dfad6544 avoid naming clashes with numpy (fixes #36) 2016-01-17 22:31:15 +01:00
Wenzel Jakob
4177ed4336 renamed decay -> intrinsic_type (fixes #59) 2016-01-17 22:31:15 +01:00
Wenzel Jakob
82ffd40870 type of void fixed (None -> NoneType) 2016-01-17 22:31:15 +01:00
Wenzel Jakob
56e9f4942b improved signature names for subclasses of pybind11::handle 2016-01-17 22:31:15 +01:00
Wenzel Jakob
d0325bbd97 switched a few admissible cases from PyTuple_Set/GetItem -> PyTuple_SET/GET_ITEM 2016-01-17 22:31:15 +01:00
Wenzel Jakob
27e8e1066b added new type pybind11::bytes, cleanup of various macros (fixes #49) 2016-01-17 22:31:15 +01:00
Wenzel Jakob
4c1a6be4bd minor cleanups in numpy.h, updated gitignore file for ninja 2016-01-17 22:31:15 +01:00
Wenzel Jakob
f4671f6a04 use RAII in dispatcher to avoid refcount leaks in certain circumstances when handling exceptions 2016-01-17 22:31:15 +01:00
Wenzel Jakob
66c9a40213 Much more efficient generation of function signatures, updated docs
This modification taps into some newer C++14 features (if present) to
generate function signatures considerably more efficiently at compile
time rather than at run time.

With this change, pybind11 binaries are now *2.1 times* smaller compared
to the Boost.Python baseline in the benchmark. Compilation times get a
nice improvement as well.

Visual Studio 2015 unfortunately doesn't implement 'constexpr' well
enough yet to support this change and uses a runtime fallback.
2016-01-17 22:31:15 +01:00
Wenzel Jakob
2ac5044a05 moved processing of cpp_function arguments out of dispatch code
The cpp_function class accepts a variadic argument, which was formerly
processed twice -- once at registration time, and once in the dispatch
lambda function. This is not only unnecessarily slow but also leads to
code bloat since it adds to the object code generated for every bound
function. This change removes the second pass at dispatch time.

One noteworthy change of this commit is that default arguments are now
constructed (and converted to Python objects) right at declaration time.
Consider the following example:

py::class_<MyClass>("MyClass")
    .def("myFunction", py::arg("arg") = SomeType(123));

In this case, the change means that pybind11 must already be set up to
deal with values of the type 'SomeType', or an exception will be thrown.
Another change is that the "preview" of the default argument in the
function signature is generated using the __repr__ special method. If
it is not available in this type, the signature may not be very helpful,
i.e.:

|  myFunction(...)
|      Signature : (MyClass, arg : SomeType = <SomeType object at 0x101b7b080>) -> None

One workaround (other than defining SomeType.__repr__) is to specify the
human-readable preview of the default argument manually using the more
cumbersome arg_t notation:

py::class_<MyClass>("MyClass")
    .def("myFunction", py::arg_t<SomeType>("arg", SomeType(123), "SomeType(123)"));
2016-01-17 22:31:15 +01:00
Wenzel Jakob
f08a3f0622 Merge pull request #52 from tmiasko/const-correctness
Make handle and related classes const correct.
2016-01-10 21:34:55 +01:00
Wenzel Jakob
deadbbb671 Merge pull request #57 from tmiasko/conversion
Use object class to hold partially converted python objects.
2016-01-07 00:08:38 +01:00
Tomasz Miąsko
ca77130be8 Use object class to hold partially converted python objects.
Using object class to hold converted object automatically deallocates
object if an exception is thrown or scope is left before constructing
complete Python object.

Additionally added method object::release() that allows to release
ownership of python object without decreasing its reference count.
2016-01-02 21:07:18 +01:00
Wenzel Jakob
3367cecc6b detect unreferenced keyword arguments in function calls 2015-12-30 18:48:20 +01:00
Tomasz Miąsko
5d53ac4cbf Clean the type name alone, not the whole message. 2015-12-28 08:49:17 +01:00
Tomasz Miąsko
875df5528d Make handle and related classes const correct.
This gives handle classes a typical pointer semantics with respects to
constness.
2015-12-28 08:11:16 +01:00
Wenzel Jakob
45f7c65594 Merge pull request #50 from tmiasko/handle_cast_const
Add const modifier to handle::cast.
2015-12-27 17:29:24 +01:00
Tomasz Miąsko
c83e062263 Create an empty python tuple in pybind::tuple default constructor.
Follow the same semantics as constructors of dict, list, and set by
creating valid Python object in default constructor of a tuple class.
2015-12-27 09:05:25 +01:00
Tomasz Miąsko
cc39b2f37f Add const modifier to handle::cast. 2015-12-26 19:01:28 +01:00
Wenzel Jakob
dd57a34e2d improved error handling at module import time 2015-12-26 14:04:52 +01:00
Wenzel Jakob
9d573f44b9 stl.h fix for std::map (see PR #43) 2015-12-26 13:37:59 +01:00
Wenzel Jakob
4b279327a3 stl.h bugfix for std::set, misc. cleanups 2015-12-18 18:41:36 +01:00
Wenzel Jakob
d1a24823bc considerable simplifications to the Python type casters 2015-12-16 12:17:46 +01:00
Wenzel Jakob
9b0b40e0b0 add converter for nullptr_t 2015-12-16 11:41:53 +01:00
Wenzel Jakob
6621c17f10 Merge pull request #38 from adler-j/issue-37__convert_exception
ENH: add more error conversions
2015-12-15 12:25:12 +01:00
Jonas Adler
2b9fdbe7c9 ENH: add more error conversions 2015-12-15 11:56:12 +01:00
Jan Dohl
ab92eb3765 Fixed py:array constructor from failing for complex types
The array(const buffer_info &info) constructor fails when given
complex types since their format string is 'Zd' or 'Zf' which has
a length of two and causes an error here:

if (info.format.size() != 1)
    throw std::runtime_error("Unsupported buffer format!");

Fixed by allowing format sizes of one and two.
2015-12-15 04:16:49 +01:00
Wenzel Jakob
62127a27b0 don't allow 'void' or 'void*' as a function argument 2015-12-13 13:09:42 +01:00
Wenzel Jakob
60c36db1c9 generic integer type handling 2015-11-30 12:45:34 +01:00
Wenzel Jakob
7f8d1c20f1 improved int_ constructor 2015-11-29 13:48:16 +01:00
Wenzel Jakob
4ee0f2a19e add missing instructor for bool_ 2015-11-29 13:47:10 +01:00
Wenzel Jakob
e1b113b0d9 ifdef WIN32 -> _WIN32 2015-11-28 14:20:38 +01:00
Wenzel Jakob
6e213c9ca0 improved shared pointer support (fixes #14) 2015-11-24 23:18:32 +01:00
Wenzel Jakob
eb7c0b82ec functional.h: support more kinds of Python functions 2015-11-16 18:39:43 +01:00
Wenzel Jakob
3ee91b2f0a renamed pybind11::set::insert -> add to match C api naming 2015-11-15 13:03:07 +01:00
Wenzel Jakob
333e889ef2 Improved STL support, support for std::set 2015-11-14 19:04:49 +01:00
Wenzel Jakob
723bc65b27 fix for std::shared_ptr proposed by Vayu (fixes #8) 2015-11-12 23:27:20 +01:00
Wenzel Jakob
54289302bc minor cleanups 2015-10-26 20:10:24 +01:00
Wenzel Jakob
5db63fb746 work around weird macro substitution issue on GCC (fixes issue #7) 2015-10-22 21:38:32 +02:00
Wenzel Jakob
fa1bfb2ec7 do a fallback search over types to handle incompatible std::type_info* across module boundaries (fixes issue #4) 2015-10-22 16:04:53 +02:00
Wenzel Jakob
3419ee909f fix linux 32 bit builds 2015-10-21 11:07:48 +02:00
Wenzel Jakob
ad7bc01d51 fix build on linux 2015-10-20 01:11:17 +02:00
Wenzel Jakob
0fb8528edf factored out some common functionality to a non-templated parent class 2015-10-19 23:53:22 +02:00
Wenzel Jakob
b1b714023a consistent macro naming throughout the project 2015-10-18 16:48:30 +02:00
Wenzel Jakob
8f4eb00690 last breaking change: be consistent about the project name 2015-10-15 18:23:56 +02:00
Wenzel Jakob
db028d685c added module::import statement 2015-10-13 23:44:25 +02:00
Wenzel Jakob
b50872acf2 A few breaking changes for consistency just before the 1.0 release
1. Renamed PYTHON_* to PYBIND_* everywhere

2. Renamed pybind::array_dtype<> to pybind::array_t<>
2015-10-13 17:46:31 +02:00
Wenzel Jakob
19208fe9a4 install a cleanup handler for nontrivial lambda closures 2015-10-13 17:46:27 +02:00
Wenzel Jakob
8456a4dca2 minor enum_ improvement (use __repr__ instead of __str__) 2015-10-13 03:03:06 +02:00
Wenzel Jakob
215fc6a4ce simplified string casters, removed wide char support (inconsistent across platforms, better to use utf8 in any case..) 2015-10-13 03:03:01 +02:00
Wenzel Jakob
d2a902bd45 quench a warning on windows 2015-10-04 20:24:20 +02:00
Wenzel Jakob
b3ee3eaf81 emit a more useful error message when a return value can't be converted to a Python type 2015-10-04 15:17:34 +02:00
Wenzel Jakob
edbdef7ccf fixed pybind::call value policy 2015-10-02 09:33:53 +02:00
Wenzel Jakob
6a32620db3 convenience function to create a pybind::handle<> to the python version of a C++ type 2015-10-02 00:42:33 +02:00
Wenzel Jakob
6918922332 allow enums values to be cast to integers 2015-10-01 21:32:23 +02:00
Wenzel Jakob
ac0fde988a don't throw an exception when python deallocates an object which still exists on the C++ side 2015-10-01 18:49:37 +02:00
Wenzel Jakob
6c698fec59 Fix usage of WIN32 define 2015-10-01 17:13:38 +02:00
Wenzel Jakob
a2f6fde0dc support for overriding virtual functions 2015-10-01 17:13:35 +02:00
Wenzel Jakob
04358b02ed Always record the __module__ in newly created Python types 2015-10-01 16:45:28 +02:00
Wenzel Jakob
96c10530aa A few convenience functions for working with Python types
- Get a descriptive string after a Python exception (without changing the exception status)
- Convenience function to map from a C++ object to a Python handle
- Convenience to check if a pybind::function is defined by an underlying
  C++ implementation
- Get the type object of a pybind::handle
2015-10-01 16:44:30 +02:00
Wenzel Jakob
5257330e6a keyword processing bugfix 2015-09-14 16:38:47 +02:00
Wenzel Jakob
73a50a0441 Fix for radd/rsub/rmul/rdiv operator convenience wrappers 2015-09-11 17:09:47 +02:00
Wenzel Jakob
38ffb5232f handle errors in callbacks 2015-09-11 17:01:21 +02:00
Wenzel Jakob
5116b02e68 python 2.7 fix 2015-09-05 02:14:39 +02:00
Wenzel Jakob
570822102c support for ancient Python versions (2.7.x) 2015-09-04 23:49:23 +02:00
Wenzel Jakob
2b0339f44e refcounting fix 2015-09-01 22:51:03 +02:00
Wenzel Jakob
c47fc488d3 win32 build fix 2015-08-30 01:01:47 +02:00
Wenzel Jakob
a750031795 support strongly typed enum 2015-08-29 02:08:32 +02:00
Wenzel Jakob
bce10fae38 windows fixes 2015-08-28 17:58:24 +02:00
Wenzel Jakob
a9ee25a97e various minor compilation fixes 2015-08-28 17:53:31 +02:00
Wenzel Jakob
5d4d83da11 Merge branch 'master' of https://github.com/wjakob/pybind11 2015-08-28 17:49:27 +02:00
Wenzel Jakob
7b8e032c26 added a few basic number types 2015-08-28 17:49:15 +02:00
Wenzel Jakob
328aa14e0a linux compilation fixes 2015-08-26 17:23:23 +02:00
Wenzel Jakob
43dbdfd0e7 Merge branch 'master' of https://github.com/wjakob/pybind11 2015-08-24 15:32:50 +02:00
Wenzel Jakob
f5fae929a3 avoid std::string when creating signatures, and make nicer type names. binary size reduced by ~10% 2015-08-24 15:31:24 +02:00
Wenzel Jakob
d3a4a50207 Merge branch 'master' of https://github.com/wjakob/pybind11 2015-08-04 18:55:07 +02:00
Wenzel Jakob
efd9e987f5 windows fixes 2015-08-04 18:53:18 +02:00
Wenzel Jakob
cd5cda715b cleaned up handling of warnings on clang 2015-08-03 12:17:54 +02:00
Wenzel Jakob
281aa0e668 nicer code separation, cleanup logic, std::function type caster 2015-07-31 04:10:38 +02:00
Wenzel Jakob
a576e6a8ca keyword argument support, removed last traces of std::function<> usage 2015-07-29 23:39:11 +02:00
Wenzel Jakob
71867830f5 switched cpp_function to use variadic arguments 2015-07-29 17:50:57 +02:00
Wenzel Jakob
fbe82bf94d code size reduction 2015-07-28 16:12:29 +02:00
Wenzel Jakob
43398a8548 complex number support 2015-07-28 16:12:20 +02:00
Wenzel Jakob
d4258bafef generate more compact binaries 2015-07-28 03:10:15 +02:00
Wenzel Jakob
2ac80e77aa Better NumPy support 2015-07-22 01:00:06 +02:00
Wenzel Jakob
bd4a529319 more flexible function creation syntax 2015-07-11 18:55:41 +02:00
Wenzel Jakob
38bd71134a Initial commit 2015-07-09 15:27:32 +02:00