Commit Graph

1173 Commits

Author SHA1 Message Date
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
Jason Rhinelander
cabbf610a7 Add VS 2017 build, and bump conda to 3.6
This adds VS 2017 to the build matrix, plus various other small
appveyor build changes:

- conda version bumped from 3.5 to 3.6
- build newer versions/architectures/python first (i.e. VS2017/x64/3.6
  is the first build, VS2015/x86/2.7 is the last)
- stop building after a job failure: often a build failure in one
  occurs everywhere; this just stops processing jobs (freeing them up
  for other PRs) if an error is hit.

Annoyingly, appveyor doesn't allow excluding tests: i.e. the test matrix
is always dense (appveyor issue 386), so for now we'll just run
everything.  (Once appveyor issue 386 is resolved, we can come back and
cut this down to 4-5 builds).
2017-03-17 14:47:51 +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
Wenzel Jakob
9f383a542e added @patstew to README.md 2017-03-14 02:51:09 +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
Dean Moldovan
b7017c3dad Fix readthedocs build (#721)
RTD updated their build environment which broke the 1.8.14.dev build of
doxygen that we were using. The update also breaks the conda-forge build
of 1.8.13 (but that version has other issues).

Luckily, the RTD update did bring their doxygen version up to 1.8.11
which is enough to parse the C++11 code we need (ref qualifiers) and it
also avoids the segfault found in 1.8.13.

Since we're using the native doxygen, conda isn't required anymore and
we can simplify the RTD configuration.

[skip ci]
2017-03-12 22:36:48 +01:00
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
28a837a07e Add failure-allowed clang-4.0/libc++-4.0 build
This adds a linux docker clang 4.0 with libc++ and c++1z build.
2017-03-10 13:04:04 -05:00
Dean Moldovan
d47febcb17 Minor pytest maintenance (#702)
* Add `pytest.ini` config file and set default options there instead of
  in `CMakeLists.txt` (command line arguments).

* Change all output capture from `capfd` (filedescriptors) to `capsys`
  (Python's `sys.stdout` and `sys.stderr`). This avoids capturing
  low-level C errors, e.g. from the debug build of Python.

* Set pytest minimum version to 3.0 to make it easier to use new
  features. Removed conditional use of `excinfo.match()`.

* Clean up some leftover function-level `@pytest.requires_numpy`.
2017-03-10 15:42:42 +01:00
Jason Rhinelander
303ee29d9f Use trusty for travis-ci pypy build (#716)
Nightlies for pypy no longer run on Ubuntu 12.04; change the pypy build
distribution to the travis-ci trusty (i.e. 14.04) beta container.

The pypy build was also installing numpy and scipy for the *system*
python version, which was pointless; this also adds a guard to the
eigen/numpy/scipy install code with a !PYPY check.
2017-03-10 12:50:50 +01:00
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
38fc542f97 Merge pull request #709 from jagerman/enum-extra-constructor
Remove extraneous `enum_` python constructor
2017-03-04 09:41:45 -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
Jason Rhinelander
414ee163cc Merge pull request #666 from mdcb/master
Expose enum_ entries as new "__members__" attribute
2017-03-03 13:17:11 -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
620a808ad0 Test with debug build of Python when DEBUG=1 on Travis 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
Wenzel Jakob
cecb577a19 fix -Wunused-lambda-capture warning 2017-02-26 23:15:39 +01:00
Jason Rhinelander
df244884c0 Skip .match on older pytest (pre-3.0)
Fixes test failure on Fedora 25.
2017-02-26 22:59:13 +01:00
Jason Rhinelander
0861be05da Fix numpy tests for big endian architectures
Fixes some numpy tests failures on ppc64 in big-endian mode due to
little-endian assumptions.

Fixes #694.
2017-02-26 22:59:13 +01:00
Jason Rhinelander
2a75784420 Move requires_numpy, etc. decorators to globals
test_eigen.py and test_numpy_*.py have the same
@pytest.requires_eigen_and_numpy or @pytest.requires_numpy on every
single test; this changes them to use pytest's global `pytestmark = ...`
instead to disable the entire module when numpy and/or eigen aren't
available.
2017-02-24 23:19:50 +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
a04410bd29 Workaround style check false positive 2017-02-24 23:19:04 +01:00