move knx-linux and knxPyton to examples dir

2026-02-23 13:50:35 +01:00 · 2019-12-12 21:42:51 +01:00
parent 6d5914857a
commit 6765add06d
209 changed files with 42521 additions and 183 deletions
--- a/examples/knxPython/pybind11/docs/faq.rst
+++ b/examples/knxPython/pybind11/docs/faq.rst
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+Frequently asked questions
+##########################
+
+"ImportError: dynamic module does not define init function"
+===========================================================
+
+You are likely using an incompatible version of Python (for instance, the
+extension library was compiled against Python 2, while the interpreter is
+running on top of some version of Python 3, or vice versa).
+
+"Symbol not found: ``__Py_ZeroStruct`` / ``_PyInstanceMethod_Type``"
+========================================================================
+
+See the first answer.
+
+"SystemError: dynamic module not initialized properly"
+======================================================
+
+See the first answer.
+
+The Python interpreter immediately crashes when importing my module
+===================================================================
+
+See the first answer.
+
+CMake doesn't detect the right Python version
+=============================================
+
+The CMake-based build system will try to automatically detect the installed
+version of Python and link against that. When this fails, or when there are
+multiple versions of Python and it finds the wrong one, delete
+``CMakeCache.txt`` and then invoke CMake as follows:
+
+.. code-block:: bash
+
+    cmake -DPYTHON_EXECUTABLE:FILEPATH=<path-to-python-executable> .
+
+Limitations involving reference arguments
+=========================================
+
+In C++, it's fairly common to pass arguments using mutable references or
+mutable pointers, which allows both read and write access to the value
+supplied by the caller. This is sometimes done for efficiency reasons, or to
+realize functions that have multiple return values. Here are two very basic
+examples:
+
+.. code-block:: cpp
+
+    void increment(int &i) { i++; }
+    void increment_ptr(int *i) { (*i)++; }
+
+In Python, all arguments are passed by reference, so there is no general
+issue in binding such code from Python.
+
+However, certain basic Python types (like ``str``, ``int``, ``bool``,
+``float``, etc.) are **immutable**. This means that the following attempt
+to port the function to Python doesn't have the same effect on the value
+provided by the caller -- in fact, it does nothing at all.
+
+.. code-block:: python
+
+    def increment(i):
+        i += 1 # nope..
+
+pybind11 is also affected by such language-level conventions, which means that
+binding ``increment`` or ``increment_ptr`` will also create Python functions
+that don't modify their arguments.
+
+Although inconvenient, one workaround is to encapsulate the immutable types in
+a custom type that does allow modifications.
+
+An other alternative involves binding a small wrapper lambda function that
+returns a tuple with all output arguments (see the remainder of the
+documentation for examples on binding lambda functions). An example:
+
+.. code-block:: cpp
+
+    int foo(int &i) { i++; return 123; }
+
+and the binding code
+
+.. code-block:: cpp
+
+   m.def("foo", [](int i) { int rv = foo(i); return std::make_tuple(rv, i); });
+
+
+How can I reduce the build time?
+================================
+
+It's good practice to split binding code over multiple files, as in the
+following example:
+
+:file:`example.cpp`:
+
+.. code-block:: cpp
+
+    void init_ex1(py::module &);
+    void init_ex2(py::module &);
+    /* ... */
+
+    PYBIND11_MODULE(example, m) {
+        init_ex1(m);
+        init_ex2(m);
+        /* ... */
+    }
+
+:file:`ex1.cpp`:
+
+.. code-block:: cpp
+
+    void init_ex1(py::module &m) {
+        m.def("add", [](int a, int b) { return a + b; });
+    }
+
+:file:`ex2.cpp`:
+
+.. code-block:: cpp
+
+    void init_ex2(py::module &m) {
+        m.def("sub", [](int a, int b) { return a - b; });
+    }
+
+:command:`python`:
+
+.. code-block:: pycon
+
+    >>> import example
+    >>> example.add(1, 2)
+    3
+    >>> example.sub(1, 1)
+    0
+
+As shown above, the various ``init_ex`` functions should be contained in
+separate files that can be compiled independently from one another, and then
+linked together into the same final shared object.  Following this approach
+will:
+
+1. reduce memory requirements per compilation unit.
+
+2. enable parallel builds (if desired).
+
+3. allow for faster incremental builds. For instance, when a single class
+   definition is changed, only a subset of the binding code will generally need
+   to be recompiled.
+
+"recursive template instantiation exceeded maximum depth of 256"
+================================================================
+
+If you receive an error about excessive recursive template evaluation, try
+specifying a larger value, e.g. ``-ftemplate-depth=1024`` on GCC/Clang. The
+culprit is generally the generation of function signatures at compile time
+using C++14 template metaprogramming.
+
+.. _`faq:hidden_visibility`:
+
+"‘SomeClass’ declared with greater visibility than the type of its field ‘SomeClass::member’ [-Wattributes]"
+============================================================================================================
+
+This error typically indicates that you are compiling without the required
+``-fvisibility`` flag.  pybind11 code internally forces hidden visibility on
+all internal code, but if non-hidden (and thus *exported*) code attempts to
+include a pybind type (for example, ``py::object`` or ``py::list``) you can run
+into this warning.
+
+To avoid it, make sure you are specifying ``-fvisibility=hidden`` when
+compiling pybind code.
+
+As to why ``-fvisibility=hidden`` is necessary, because pybind modules could
+have been compiled under different versions of pybind itself, it is also
+important that the symbols defined in one module do not clash with the
+potentially-incompatible symbols defined in another.  While Python extension
+modules are usually loaded with localized symbols (under POSIX systems
+typically using ``dlopen`` with the ``RTLD_LOCAL`` flag), this Python default
+can be changed, but even if it isn't it is not always enough to guarantee
+complete independence of the symbols involved when not using
+``-fvisibility=hidden``.
+
+Additionally, ``-fvisiblity=hidden`` can deliver considerably binary size
+savings.  (See the following section for more details).
+
+
+.. _`faq:symhidden`:
+
+How can I create smaller binaries?
+==================================
+
+To do its job, pybind11 extensively relies on a programming technique known as
+*template metaprogramming*, which is a way of performing computation at compile
+time using type information. Template metaprogamming usually instantiates code
+involving significant numbers of deeply nested types that are either completely
+removed or reduced to just a few instructions during the compiler's optimization
+phase. However, due to the nested nature of these types, the resulting symbol
+names in the compiled extension library can be extremely long. For instance,
+the included test suite contains the following symbol:
+
+.. only:: html
+
+    .. code-block:: none
+
+        __ZN8pybind1112cpp_functionC1Iv8Example2JRNSt3__16vectorINS3_12basic_stringIwNS3_11char_traitsIwEENS3_9allocatorIwEEEENS8_ISA_EEEEEJNS_4nameENS_7siblingENS_9is_methodEA28_cEEEMT0_FT_DpT1_EDpRKT2_
+
+.. only:: not html
+
+    .. code-block:: cpp
+
+        __ZN8pybind1112cpp_functionC1Iv8Example2JRNSt3__16vectorINS3_12basic_stringIwNS3_11char_traitsIwEENS3_9allocatorIwEEEENS8_ISA_EEEEEJNS_4nameENS_7siblingENS_9is_methodEA28_cEEEMT0_FT_DpT1_EDpRKT2_
+
+which is the mangled form of the following function type:
+
+.. code-block:: cpp
+
+    pybind11::cpp_function::cpp_function<void, Example2, std::__1::vector<std::__1::basic_string<wchar_t, std::__1::char_traits<wchar_t>, std::__1::allocator<wchar_t> >, std::__1::allocator<std::__1::basic_string<wchar_t, std::__1::char_traits<wchar_t>, std::__1::allocator<wchar_t> > > >&, pybind11::name, pybind11::sibling, pybind11::is_method, char [28]>(void (Example2::*)(std::__1::vector<std::__1::basic_string<wchar_t, std::__1::char_traits<wchar_t>, std::__1::allocator<wchar_t> >, std::__1::allocator<std::__1::basic_string<wchar_t, std::__1::char_traits<wchar_t>, std::__1::allocator<wchar_t> > > >&), pybind11::name const&, pybind11::sibling const&, pybind11::is_method const&, char const (&) [28])
+
+The memory needed to store just the mangled name of this function (196 bytes)
+is larger than the actual piece of code (111 bytes) it represents! On the other
+hand, it's silly to even give this function a name -- after all, it's just a
+tiny cog in a bigger piece of machinery that is not exposed to the outside
+world. So we'll generally only want to export symbols for those functions which
+are actually called from the outside.
+
+This can be achieved by specifying the parameter ``-fvisibility=hidden`` to GCC
+and Clang, which sets the default symbol visibility to *hidden*, which has a
+tremendous impact on the final binary size of the resulting extension library.
+(On Visual Studio, symbols are already hidden by default, so nothing needs to
+be done there.)
+
+In addition to decreasing binary size, ``-fvisibility=hidden`` also avoids
+potential serious issues when loading multiple modules and is required for
+proper pybind operation.  See the previous FAQ entry for more details.
+
+Another aspect that can require a fair bit of code are function signature
+descriptions. pybind11 automatically generates human-readable function
+signatures for docstrings, e.g.:
+
+.. code-block:: none
+
+     |  __init__(...)
+     |      __init__(*args, **kwargs)
+     |      Overloaded function.
+     |
+     |      1. __init__(example.Example1) -> NoneType
+     |
+     |      Docstring for overload #1 goes here
+     |
+     |      2. __init__(example.Example1, int) -> NoneType
+     |
+     |      Docstring for overload #2 goes here
+     |
+     |      3. __init__(example.Example1, example.Example1) -> NoneType
+     |
+     |      Docstring for overload #3 goes here
+
+
+In C++11 mode, these are generated at run time using string concatenation,
+which can amount to 10-20% of the size of the resulting binary. If you can,
+enable C++14 language features (using ``-std=c++14`` for GCC/Clang), in which
+case signatures are efficiently pre-generated at compile time. Unfortunately,
+Visual Studio's C++14 support (``constexpr``) is not good enough as of April
+2016, so it always uses the more expensive run-time approach.
+
+Working with ancient Visual Studio 2009 builds on Windows
+=========================================================
+
+The official Windows distributions of Python are compiled using truly
+ancient versions of Visual Studio that lack good C++11 support. Some users
+implicitly assume that it would be impossible to load a plugin built with
+Visual Studio 2015 into a Python distribution that was compiled using Visual
+Studio 2009. However, no such issue exists: it's perfectly legitimate to
+interface DLLs that are built with different compilers and/or C libraries.
+Common gotchas to watch out for involve not ``free()``-ing memory region
+that that were ``malloc()``-ed in another shared library, using data
+structures with incompatible ABIs, and so on. pybind11 is very careful not
+to make these types of mistakes.
+
+How to cite this project?
+=========================
+
+We suggest the following BibTeX template to cite pybind11 in scientific
+discourse:
+
+.. code-block:: bash
+
+    @misc{pybind11,
+       author = {Wenzel Jakob and Jason Rhinelander and Dean Moldovan},
+       year = {2017},
+       note = {https://github.com/pybind/pybind11},
+       title = {pybind11 -- Seamless operability between C++11 and Python}
+    }
+