Commit Graph

571 Commits

Author SHA1 Message Date
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