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clean up visual studio files and add root cmake
This commit is contained in:
@@ -1,109 +0,0 @@
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Functional
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##########
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The following features must be enabled by including :file:`pybind11/functional.h`.
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Callbacks and passing anonymous functions
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=========================================
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The C++11 standard brought lambda functions and the generic polymorphic
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function wrapper ``std::function<>`` to the C++ programming language, which
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enable powerful new ways of working with functions. Lambda functions come in
|
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two flavors: stateless lambda function resemble classic function pointers that
|
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link to an anonymous piece of code, while stateful lambda functions
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additionally depend on captured variables that are stored in an anonymous
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*lambda closure object*.
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Here is a simple example of a C++ function that takes an arbitrary function
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(stateful or stateless) with signature ``int -> int`` as an argument and runs
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it with the value 10.
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.. code-block:: cpp
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int func_arg(const std::function<int(int)> &f) {
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return f(10);
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}
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The example below is more involved: it takes a function of signature ``int -> int``
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and returns another function of the same kind. The return value is a stateful
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lambda function, which stores the value ``f`` in the capture object and adds 1 to
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its return value upon execution.
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.. code-block:: cpp
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std::function<int(int)> func_ret(const std::function<int(int)> &f) {
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return [f](int i) {
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return f(i) + 1;
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};
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}
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This example demonstrates using python named parameters in C++ callbacks which
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requires using ``py::cpp_function`` as a wrapper. Usage is similar to defining
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methods of classes:
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.. code-block:: cpp
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py::cpp_function func_cpp() {
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return py::cpp_function([](int i) { return i+1; },
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py::arg("number"));
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}
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After including the extra header file :file:`pybind11/functional.h`, it is almost
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trivial to generate binding code for all of these functions.
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.. code-block:: cpp
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#include <pybind11/functional.h>
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PYBIND11_MODULE(example, m) {
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m.def("func_arg", &func_arg);
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m.def("func_ret", &func_ret);
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m.def("func_cpp", &func_cpp);
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}
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The following interactive session shows how to call them from Python.
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.. code-block:: pycon
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$ python
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>>> import example
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>>> def square(i):
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... return i * i
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...
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>>> example.func_arg(square)
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100L
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>>> square_plus_1 = example.func_ret(square)
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>>> square_plus_1(4)
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17L
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>>> plus_1 = func_cpp()
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>>> plus_1(number=43)
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44L
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.. warning::
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Keep in mind that passing a function from C++ to Python (or vice versa)
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will instantiate a piece of wrapper code that translates function
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invocations between the two languages. Naturally, this translation
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increases the computational cost of each function call somewhat. A
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problematic situation can arise when a function is copied back and forth
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between Python and C++ many times in a row, in which case the underlying
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wrappers will accumulate correspondingly. The resulting long sequence of
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C++ -> Python -> C++ -> ... roundtrips can significantly decrease
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performance.
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There is one exception: pybind11 detects case where a stateless function
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(i.e. a function pointer or a lambda function without captured variables)
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is passed as an argument to another C++ function exposed in Python. In this
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case, there is no overhead. Pybind11 will extract the underlying C++
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function pointer from the wrapped function to sidestep a potential C++ ->
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Python -> C++ roundtrip. This is demonstrated in :file:`tests/test_callbacks.cpp`.
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.. note::
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This functionality is very useful when generating bindings for callbacks in
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C++ libraries (e.g. GUI libraries, asynchronous networking libraries, etc.).
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|
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The file :file:`tests/test_callbacks.cpp` contains a complete example
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that demonstrates how to work with callbacks and anonymous functions in
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more detail.
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@@ -1,305 +0,0 @@
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Strings, bytes and Unicode conversions
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######################################
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.. note::
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This section discusses string handling in terms of Python 3 strings. For
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Python 2.7, replace all occurrences of ``str`` with ``unicode`` and
|
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``bytes`` with ``str``. Python 2.7 users may find it best to use ``from
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__future__ import unicode_literals`` to avoid unintentionally using ``str``
|
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instead of ``unicode``.
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|
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Passing Python strings to C++
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=============================
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|
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When a Python ``str`` is passed from Python to a C++ function that accepts
|
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``std::string`` or ``char *`` as arguments, pybind11 will encode the Python
|
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string to UTF-8. All Python ``str`` can be encoded in UTF-8, so this operation
|
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does not fail.
|
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|
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The C++ language is encoding agnostic. It is the responsibility of the
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programmer to track encodings. It's often easiest to simply `use UTF-8
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everywhere <http://utf8everywhere.org/>`_.
|
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|
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.. code-block:: c++
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m.def("utf8_test",
|
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[](const std::string &s) {
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cout << "utf-8 is icing on the cake.\n";
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cout << s;
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}
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);
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m.def("utf8_charptr",
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[](const char *s) {
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cout << "My favorite food is\n";
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cout << s;
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}
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);
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.. code-block:: python
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>>> utf8_test('🎂')
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utf-8 is icing on the cake.
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🎂
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>>> utf8_charptr('🍕')
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My favorite food is
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🍕
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.. note::
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Some terminal emulators do not support UTF-8 or emoji fonts and may not
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display the example above correctly.
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The results are the same whether the C++ function accepts arguments by value or
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reference, and whether or not ``const`` is used.
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Passing bytes to C++
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--------------------
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A Python ``bytes`` object will be passed to C++ functions that accept
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``std::string`` or ``char*`` *without* conversion. On Python 3, in order to
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make a function *only* accept ``bytes`` (and not ``str``), declare it as taking
|
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a ``py::bytes`` argument.
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Returning C++ strings to Python
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===============================
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When a C++ function returns a ``std::string`` or ``char*`` to a Python caller,
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**pybind11 will assume that the string is valid UTF-8** and will decode it to a
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native Python ``str``, using the same API as Python uses to perform
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``bytes.decode('utf-8')``. If this implicit conversion fails, pybind11 will
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raise a ``UnicodeDecodeError``.
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.. code-block:: c++
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m.def("std_string_return",
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[]() {
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return std::string("This string needs to be UTF-8 encoded");
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}
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);
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.. code-block:: python
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>>> isinstance(example.std_string_return(), str)
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True
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Because UTF-8 is inclusive of pure ASCII, there is never any issue with
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returning a pure ASCII string to Python. If there is any possibility that the
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string is not pure ASCII, it is necessary to ensure the encoding is valid
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UTF-8.
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.. warning::
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Implicit conversion assumes that a returned ``char *`` is null-terminated.
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If there is no null terminator a buffer overrun will occur.
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Explicit conversions
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||||
--------------------
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If some C++ code constructs a ``std::string`` that is not a UTF-8 string, one
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can perform a explicit conversion and return a ``py::str`` object. Explicit
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conversion has the same overhead as implicit conversion.
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.. code-block:: c++
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// This uses the Python C API to convert Latin-1 to Unicode
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m.def("str_output",
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[]() {
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std::string s = "Send your r\xe9sum\xe9 to Alice in HR"; // Latin-1
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py::str py_s = PyUnicode_DecodeLatin1(s.data(), s.length());
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return py_s;
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}
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);
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.. code-block:: python
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>>> str_output()
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'Send your résumé to Alice in HR'
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The `Python C API
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<https://docs.python.org/3/c-api/unicode.html#built-in-codecs>`_ provides
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several built-in codecs.
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|
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One could also use a third party encoding library such as libiconv to transcode
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to UTF-8.
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Return C++ strings without conversion
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-------------------------------------
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If the data in a C++ ``std::string`` does not represent text and should be
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returned to Python as ``bytes``, then one can return the data as a
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``py::bytes`` object.
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.. code-block:: c++
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|
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m.def("return_bytes",
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[]() {
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std::string s("\xba\xd0\xba\xd0"); // Not valid UTF-8
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return py::bytes(s); // Return the data without transcoding
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||||
}
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);
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.. code-block:: python
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>>> example.return_bytes()
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b'\xba\xd0\xba\xd0'
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Note the asymmetry: pybind11 will convert ``bytes`` to ``std::string`` without
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encoding, but cannot convert ``std::string`` back to ``bytes`` implicitly.
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.. code-block:: c++
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|
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m.def("asymmetry",
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[](std::string s) { // Accepts str or bytes from Python
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return s; // Looks harmless, but implicitly converts to str
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||||
}
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||||
);
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|
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.. code-block:: python
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||||
|
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>>> isinstance(example.asymmetry(b"have some bytes"), str)
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True
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>>> example.asymmetry(b"\xba\xd0\xba\xd0") # invalid utf-8 as bytes
|
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UnicodeDecodeError: 'utf-8' codec can't decode byte 0xba in position 0: invalid start byte
|
||||
|
||||
|
||||
Wide character strings
|
||||
======================
|
||||
|
||||
When a Python ``str`` is passed to a C++ function expecting ``std::wstring``,
|
||||
``wchar_t*``, ``std::u16string`` or ``std::u32string``, the ``str`` will be
|
||||
encoded to UTF-16 or UTF-32 depending on how the C++ compiler implements each
|
||||
type, in the platform's native endianness. When strings of these types are
|
||||
returned, they are assumed to contain valid UTF-16 or UTF-32, and will be
|
||||
decoded to Python ``str``.
|
||||
|
||||
.. code-block:: c++
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||||
|
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#define UNICODE
|
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#include <windows.h>
|
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|
||||
m.def("set_window_text",
|
||||
[](HWND hwnd, std::wstring s) {
|
||||
// Call SetWindowText with null-terminated UTF-16 string
|
||||
::SetWindowText(hwnd, s.c_str());
|
||||
}
|
||||
);
|
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m.def("get_window_text",
|
||||
[](HWND hwnd) {
|
||||
const int buffer_size = ::GetWindowTextLength(hwnd) + 1;
|
||||
auto buffer = std::make_unique< wchar_t[] >(buffer_size);
|
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|
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::GetWindowText(hwnd, buffer.data(), buffer_size);
|
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|
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std::wstring text(buffer.get());
|
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|
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// wstring will be converted to Python str
|
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return text;
|
||||
}
|
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);
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|
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.. warning::
|
||||
|
||||
Wide character strings may not work as described on Python 2.7 or Python
|
||||
3.3 compiled with ``--enable-unicode=ucs2``.
|
||||
|
||||
Strings in multibyte encodings such as Shift-JIS must transcoded to a
|
||||
UTF-8/16/32 before being returned to Python.
|
||||
|
||||
|
||||
Character literals
|
||||
==================
|
||||
|
||||
C++ functions that accept character literals as input will receive the first
|
||||
character of a Python ``str`` as their input. If the string is longer than one
|
||||
Unicode character, trailing characters will be ignored.
|
||||
|
||||
When a character literal is returned from C++ (such as a ``char`` or a
|
||||
``wchar_t``), it will be converted to a ``str`` that represents the single
|
||||
character.
|
||||
|
||||
.. code-block:: c++
|
||||
|
||||
m.def("pass_char", [](char c) { return c; });
|
||||
m.def("pass_wchar", [](wchar_t w) { return w; });
|
||||
|
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.. code-block:: python
|
||||
|
||||
>>> example.pass_char('A')
|
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'A'
|
||||
|
||||
While C++ will cast integers to character types (``char c = 0x65;``), pybind11
|
||||
does not convert Python integers to characters implicitly. The Python function
|
||||
``chr()`` can be used to convert integers to characters.
|
||||
|
||||
.. code-block:: python
|
||||
|
||||
>>> example.pass_char(0x65)
|
||||
TypeError
|
||||
|
||||
>>> example.pass_char(chr(0x65))
|
||||
'A'
|
||||
|
||||
If the desire is to work with an 8-bit integer, use ``int8_t`` or ``uint8_t``
|
||||
as the argument type.
|
||||
|
||||
Grapheme clusters
|
||||
-----------------
|
||||
|
||||
A single grapheme may be represented by two or more Unicode characters. For
|
||||
example 'é' is usually represented as U+00E9 but can also be expressed as the
|
||||
combining character sequence U+0065 U+0301 (that is, the letter 'e' followed by
|
||||
a combining acute accent). The combining character will be lost if the
|
||||
two-character sequence is passed as an argument, even though it renders as a
|
||||
single grapheme.
|
||||
|
||||
.. code-block:: python
|
||||
|
||||
>>> example.pass_wchar('é')
|
||||
'é'
|
||||
|
||||
>>> combining_e_acute = 'e' + '\u0301'
|
||||
|
||||
>>> combining_e_acute
|
||||
'é'
|
||||
|
||||
>>> combining_e_acute == 'é'
|
||||
False
|
||||
|
||||
>>> example.pass_wchar(combining_e_acute)
|
||||
'e'
|
||||
|
||||
Normalizing combining characters before passing the character literal to C++
|
||||
may resolve *some* of these issues:
|
||||
|
||||
.. code-block:: python
|
||||
|
||||
>>> example.pass_wchar(unicodedata.normalize('NFC', combining_e_acute))
|
||||
'é'
|
||||
|
||||
In some languages (Thai for example), there are `graphemes that cannot be
|
||||
expressed as a single Unicode code point
|
||||
<http://unicode.org/reports/tr29/#Grapheme_Cluster_Boundaries>`_, so there is
|
||||
no way to capture them in a C++ character type.
|
||||
|
||||
|
||||
C++17 string views
|
||||
==================
|
||||
|
||||
C++17 string views are automatically supported when compiling in C++17 mode.
|
||||
They follow the same rules for encoding and decoding as the corresponding STL
|
||||
string type (for example, a ``std::u16string_view`` argument will be passed
|
||||
UTF-16-encoded data, and a returned ``std::string_view`` will be decoded as
|
||||
UTF-8).
|
||||
|
||||
References
|
||||
==========
|
||||
|
||||
* `The Absolute Minimum Every Software Developer Absolutely, Positively Must Know About Unicode and Character Sets (No Excuses!) <https://www.joelonsoftware.com/2003/10/08/the-absolute-minimum-every-software-developer-absolutely-positively-must-know-about-unicode-and-character-sets-no-excuses/>`_
|
||||
* `C++ - Using STL Strings at Win32 API Boundaries <https://msdn.microsoft.com/en-ca/magazine/mt238407.aspx>`_
|
||||
@@ -1,13 +0,0 @@
|
||||
Python C++ interface
|
||||
####################
|
||||
|
||||
pybind11 exposes Python types and functions using thin C++ wrappers, which
|
||||
makes it possible to conveniently call Python code from C++ without resorting
|
||||
to Python's C API.
|
||||
|
||||
.. toctree::
|
||||
:maxdepth: 2
|
||||
|
||||
object
|
||||
numpy
|
||||
utilities
|
||||
@@ -1,173 +0,0 @@
|
||||
Smart pointers
|
||||
##############
|
||||
|
||||
std::unique_ptr
|
||||
===============
|
||||
|
||||
Given a class ``Example`` with Python bindings, it's possible to return
|
||||
instances wrapped in C++11 unique pointers, like so
|
||||
|
||||
.. code-block:: cpp
|
||||
|
||||
std::unique_ptr<Example> create_example() { return std::unique_ptr<Example>(new Example()); }
|
||||
|
||||
.. code-block:: cpp
|
||||
|
||||
m.def("create_example", &create_example);
|
||||
|
||||
In other words, there is nothing special that needs to be done. While returning
|
||||
unique pointers in this way is allowed, it is *illegal* to use them as function
|
||||
arguments. For instance, the following function signature cannot be processed
|
||||
by pybind11.
|
||||
|
||||
.. code-block:: cpp
|
||||
|
||||
void do_something_with_example(std::unique_ptr<Example> ex) { ... }
|
||||
|
||||
The above signature would imply that Python needs to give up ownership of an
|
||||
object that is passed to this function, which is generally not possible (for
|
||||
instance, the object might be referenced elsewhere).
|
||||
|
||||
std::shared_ptr
|
||||
===============
|
||||
|
||||
The binding generator for classes, :class:`class_`, can be passed a template
|
||||
type that denotes a special *holder* type that is used to manage references to
|
||||
the object. If no such holder type template argument is given, the default for
|
||||
a type named ``Type`` is ``std::unique_ptr<Type>``, which means that the object
|
||||
is deallocated when Python's reference count goes to zero.
|
||||
|
||||
It is possible to switch to other types of reference counting wrappers or smart
|
||||
pointers, which is useful in codebases that rely on them. For instance, the
|
||||
following snippet causes ``std::shared_ptr`` to be used instead.
|
||||
|
||||
.. code-block:: cpp
|
||||
|
||||
py::class_<Example, std::shared_ptr<Example> /* <- holder type */> obj(m, "Example");
|
||||
|
||||
Note that any particular class can only be associated with a single holder type.
|
||||
|
||||
One potential stumbling block when using holder types is that they need to be
|
||||
applied consistently. Can you guess what's broken about the following binding
|
||||
code?
|
||||
|
||||
.. code-block:: cpp
|
||||
|
||||
class Child { };
|
||||
|
||||
class Parent {
|
||||
public:
|
||||
Parent() : child(std::make_shared<Child>()) { }
|
||||
Child *get_child() { return child.get(); } /* Hint: ** DON'T DO THIS ** */
|
||||
private:
|
||||
std::shared_ptr<Child> child;
|
||||
};
|
||||
|
||||
PYBIND11_MODULE(example, m) {
|
||||
py::class_<Child, std::shared_ptr<Child>>(m, "Child");
|
||||
|
||||
py::class_<Parent, std::shared_ptr<Parent>>(m, "Parent")
|
||||
.def(py::init<>())
|
||||
.def("get_child", &Parent::get_child);
|
||||
}
|
||||
|
||||
The following Python code will cause undefined behavior (and likely a
|
||||
segmentation fault).
|
||||
|
||||
.. code-block:: python
|
||||
|
||||
from example import Parent
|
||||
print(Parent().get_child())
|
||||
|
||||
The problem is that ``Parent::get_child()`` returns a pointer to an instance of
|
||||
``Child``, but the fact that this instance is already managed by
|
||||
``std::shared_ptr<...>`` is lost when passing raw pointers. In this case,
|
||||
pybind11 will create a second independent ``std::shared_ptr<...>`` that also
|
||||
claims ownership of the pointer. In the end, the object will be freed **twice**
|
||||
since these shared pointers have no way of knowing about each other.
|
||||
|
||||
There are two ways to resolve this issue:
|
||||
|
||||
1. For types that are managed by a smart pointer class, never use raw pointers
|
||||
in function arguments or return values. In other words: always consistently
|
||||
wrap pointers into their designated holder types (such as
|
||||
``std::shared_ptr<...>``). In this case, the signature of ``get_child()``
|
||||
should be modified as follows:
|
||||
|
||||
.. code-block:: cpp
|
||||
|
||||
std::shared_ptr<Child> get_child() { return child; }
|
||||
|
||||
2. Adjust the definition of ``Child`` by specifying
|
||||
``std::enable_shared_from_this<T>`` (see cppreference_ for details) as a
|
||||
base class. This adds a small bit of information to ``Child`` that allows
|
||||
pybind11 to realize that there is already an existing
|
||||
``std::shared_ptr<...>`` and communicate with it. In this case, the
|
||||
declaration of ``Child`` should look as follows:
|
||||
|
||||
.. _cppreference: http://en.cppreference.com/w/cpp/memory/enable_shared_from_this
|
||||
|
||||
.. code-block:: cpp
|
||||
|
||||
class Child : public std::enable_shared_from_this<Child> { };
|
||||
|
||||
.. _smart_pointers:
|
||||
|
||||
Custom smart pointers
|
||||
=====================
|
||||
|
||||
pybind11 supports ``std::unique_ptr`` and ``std::shared_ptr`` right out of the
|
||||
box. For any other custom smart pointer, transparent conversions can be enabled
|
||||
using a macro invocation similar to the following. It must be declared at the
|
||||
top namespace level before any binding code:
|
||||
|
||||
.. code-block:: cpp
|
||||
|
||||
PYBIND11_DECLARE_HOLDER_TYPE(T, SmartPtr<T>);
|
||||
|
||||
The first argument of :func:`PYBIND11_DECLARE_HOLDER_TYPE` should be a
|
||||
placeholder name that is used as a template parameter of the second argument.
|
||||
Thus, feel free to use any identifier, but use it consistently on both sides;
|
||||
also, don't use the name of a type that already exists in your codebase.
|
||||
|
||||
The macro also accepts a third optional boolean parameter that is set to false
|
||||
by default. Specify
|
||||
|
||||
.. code-block:: cpp
|
||||
|
||||
PYBIND11_DECLARE_HOLDER_TYPE(T, SmartPtr<T>, true);
|
||||
|
||||
if ``SmartPtr<T>`` can always be initialized from a ``T*`` pointer without the
|
||||
risk of inconsistencies (such as multiple independent ``SmartPtr`` instances
|
||||
believing that they are the sole owner of the ``T*`` pointer). A common
|
||||
situation where ``true`` should be passed is when the ``T`` instances use
|
||||
*intrusive* reference counting.
|
||||
|
||||
Please take a look at the :ref:`macro_notes` before using this feature.
|
||||
|
||||
By default, pybind11 assumes that your custom smart pointer has a standard
|
||||
interface, i.e. provides a ``.get()`` member function to access the underlying
|
||||
raw pointer. If this is not the case, pybind11's ``holder_helper`` must be
|
||||
specialized:
|
||||
|
||||
.. code-block:: cpp
|
||||
|
||||
// Always needed for custom holder types
|
||||
PYBIND11_DECLARE_HOLDER_TYPE(T, SmartPtr<T>);
|
||||
|
||||
// Only needed if the type's `.get()` goes by another name
|
||||
namespace pybind11 { namespace detail {
|
||||
template <typename T>
|
||||
struct holder_helper<SmartPtr<T>> { // <-- specialization
|
||||
static const T *get(const SmartPtr<T> &p) { return p.getPointer(); }
|
||||
};
|
||||
}}
|
||||
|
||||
The above specialization informs pybind11 that the custom ``SmartPtr`` class
|
||||
provides ``.get()`` functionality via ``.getPointer()``.
|
||||
|
||||
.. seealso::
|
||||
|
||||
The file :file:`tests/test_smart_ptr.cpp` contains a complete example
|
||||
that demonstrates how to work with custom reference-counting holder types
|
||||
in more detail.
|
||||
Reference in New Issue
Block a user