283 lines
13 KiB
ReStructuredText
283 lines
13 KiB
ReStructuredText
.. highlightlang:: c
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.. _building-on-windows:
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****************************************
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Building C and C++ Extensions on Windows
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****************************************
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This chapter briefly explains how to create a Windows extension module for
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Python using Microsoft Visual C++, and follows with more detailed background
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information on how it works. The explanatory material is useful for both the
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Windows programmer learning to build Python extensions and the Unix programmer
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interested in producing software which can be successfully built on both Unix
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and Windows.
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Module authors are encouraged to use the distutils approach for building
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extension modules, instead of the one described in this section. You will still
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need the C compiler that was used to build Python; typically Microsoft Visual
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C++.
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.. note::
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This chapter mentions a number of filenames that include an encoded Python
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version number. These filenames are represented with the version number shown
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as ``XY``; in practice, ``'X'`` will be the major version number and ``'Y'``
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will be the minor version number of the Python release you're working with. For
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example, if you are using Python 2.2.1, ``XY`` will actually be ``22``.
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.. _win-cookbook:
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A Cookbook Approach
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===================
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There are two approaches to building extension modules on Windows, just as there
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are on Unix: use the :mod:`distutils` package to control the build process, or
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do things manually. The distutils approach works well for most extensions;
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documentation on using :mod:`distutils` to build and package extension modules
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is available in :ref:`distutils-index`. This section describes the manual
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approach to building Python extensions written in C or C++.
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To build extensions using these instructions, you need to have a copy of the
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Python sources of the same version as your installed Python. You will need
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Microsoft Visual C++ "Developer Studio"; project files are supplied for VC++
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version 7.1, but you can use older versions of VC++. Notice that you should use
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the same version of VC++that was used to build Python itself. The example files
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described here are distributed with the Python sources in the
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:file:`PC\\example_nt\\` directory.
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#. **Copy the example files** --- The :file:`example_nt` directory is a
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subdirectory of the :file:`PC` directory, in order to keep all the PC-specific
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files under the same directory in the source distribution. However, the
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:file:`example_nt` directory can't actually be used from this location. You
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first need to copy or move it up one level, so that :file:`example_nt` is a
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sibling of the :file:`PC` and :file:`Include` directories. Do all your work
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from within this new location.
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#. **Open the project** --- From VC++, use the :menuselection:`File --> Open
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Solution` dialog (not :menuselection:`File --> Open`!). Navigate to and select
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the file :file:`example.sln`, in the *copy* of the :file:`example_nt` directory
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you made above. Click Open.
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#. **Build the example DLL** --- In order to check that everything is set up
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right, try building:
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#. Select a configuration. This step is optional. Choose
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:menuselection:`Build --> Configuration Manager --> Active Solution Configuration`
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and select either :guilabel:`Release` or :guilabel:`Debug`. If you skip this
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step, VC++ will use the Debug configuration by default.
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#. Build the DLL. Choose :menuselection:`Build --> Build Solution`. This
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creates all intermediate and result files in a subdirectory called either
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:file:`Debug` or :file:`Release`, depending on which configuration you selected
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in the preceding step.
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#. **Testing the debug-mode DLL** --- Once the Debug build has succeeded, bring
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up a DOS box, and change to the :file:`example_nt\\Debug` directory. You should
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now be able to repeat the following session (``C>`` is the DOS prompt, ``>>>``
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is the Python prompt; note that build information and various debug output from
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Python may not match this screen dump exactly)::
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C>..\..\PCbuild\python_d
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Adding parser accelerators ...
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Done.
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Python 2.2 (#28, Dec 19 2001, 23:26:37) [MSC 32 bit (Intel)] on win32
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Type "copyright", "credits" or "license" for more information.
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>>> import example
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[4897 refs]
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>>> example.foo()
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Hello, world
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[4903 refs]
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>>>
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Congratulations! You've successfully built your first Python extension module.
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#. **Creating your own project** --- Choose a name and create a directory for
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it. Copy your C sources into it. Note that the module source file name does
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not necessarily have to match the module name, but the name of the
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initialization function should match the module name --- you can only import a
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module :mod:`spam` if its initialization function is called :cfunc:`initspam`,
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and it should call :cfunc:`Py_InitModule` with the string ``"spam"`` as its
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first argument (use the minimal :file:`example.c` in this directory as a guide).
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By convention, it lives in a file called :file:`spam.c` or :file:`spammodule.c`.
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The output file should be called :file:`spam.pyd` (in Release mode) or
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:file:`spam_d.pyd` (in Debug mode). The extension :file:`.pyd` was chosen
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to avoid confusion with a system library :file:`spam.dll` to which your module
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could be a Python interface.
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.. versionchanged:: 2.5
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Previously, file names like :file:`spam.dll` (in release mode) or
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:file:`spam_d.dll` (in debug mode) were also recognized.
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Now your options are:
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#. Copy :file:`example.sln` and :file:`example.vcproj`, rename them to
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:file:`spam.\*`, and edit them by hand, or
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#. Create a brand new project; instructions are below.
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In either case, copy :file:`example_nt\\example.def` to :file:`spam\\spam.def`,
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and edit the new :file:`spam.def` so its second line contains the string
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'``initspam``'. If you created a new project yourself, add the file
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:file:`spam.def` to the project now. (This is an annoying little file with only
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two lines. An alternative approach is to forget about the :file:`.def` file,
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and add the option :option:`/export:initspam` somewhere to the Link settings, by
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manually editing the setting in Project Properties dialog).
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#. **Creating a brand new project** --- Use the :menuselection:`File --> New
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--> Project` dialog to create a new Project Workspace. Select :guilabel:`Visual
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C++ Projects/Win32/ Win32 Project`, enter the name (``spam``), and make sure the
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Location is set to parent of the :file:`spam` directory you have created (which
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should be a direct subdirectory of the Python build tree, a sibling of
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:file:`Include` and :file:`PC`). Select Win32 as the platform (in my version,
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this is the only choice). Make sure the Create new workspace radio button is
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selected. Click OK.
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You should now create the file :file:`spam.def` as instructed in the previous
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section. Add the source files to the project, using :menuselection:`Project -->
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Add Existing Item`. Set the pattern to ``*.*`` and select both :file:`spam.c`
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and :file:`spam.def` and click OK. (Inserting them one by one is fine too.)
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Now open the :menuselection:`Project --> spam properties` dialog. You only need
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to change a few settings. Make sure :guilabel:`All Configurations` is selected
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from the :guilabel:`Settings for:` dropdown list. Select the C/C++ tab. Choose
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the General category in the popup menu at the top. Type the following text in
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the entry box labeled :guilabel:`Additional Include Directories`::
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..\Include,..\PC
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Then, choose the General category in the Linker tab, and enter ::
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..\PCbuild
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in the text box labelled :guilabel:`Additional library Directories`.
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Now you need to add some mode-specific settings:
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Select :guilabel:`Release` in the :guilabel:`Configuration` dropdown list.
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Choose the :guilabel:`Link` tab, choose the :guilabel:`Input` category, and
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append ``pythonXY.lib`` to the list in the :guilabel:`Additional Dependencies`
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box.
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Select :guilabel:`Debug` in the :guilabel:`Configuration` dropdown list, and
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append ``pythonXY_d.lib`` to the list in the :guilabel:`Additional Dependencies`
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box. Then click the C/C++ tab, select :guilabel:`Code Generation`, and select
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:guilabel:`Multi-threaded Debug DLL` from the :guilabel:`Runtime library`
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dropdown list.
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Select :guilabel:`Release` again from the :guilabel:`Configuration` dropdown
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list. Select :guilabel:`Multi-threaded DLL` from the :guilabel:`Runtime
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library` dropdown list.
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If your module creates a new type, you may have trouble with this line::
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PyObject_HEAD_INIT(&PyType_Type)
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Change it to::
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PyObject_HEAD_INIT(NULL)
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and add the following to the module initialization function::
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MyObject_Type.ob_type = &PyType_Type;
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Refer to section 3 of the `Python FAQ <http://www.python.org/doc/faq>`_ for
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details on why you must do this.
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.. _dynamic-linking:
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Differences Between Unix and Windows
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====================================
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.. sectionauthor:: Chris Phoenix <cphoenix@best.com>
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Unix and Windows use completely different paradigms for run-time loading of
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code. Before you try to build a module that can be dynamically loaded, be aware
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of how your system works.
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In Unix, a shared object (:file:`.so`) file contains code to be used by the
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program, and also the names of functions and data that it expects to find in the
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program. When the file is joined to the program, all references to those
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functions and data in the file's code are changed to point to the actual
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locations in the program where the functions and data are placed in memory.
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This is basically a link operation.
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In Windows, a dynamic-link library (:file:`.dll`) file has no dangling
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references. Instead, an access to functions or data goes through a lookup
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table. So the DLL code does not have to be fixed up at runtime to refer to the
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program's memory; instead, the code already uses the DLL's lookup table, and the
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lookup table is modified at runtime to point to the functions and data.
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In Unix, there is only one type of library file (:file:`.a`) which contains code
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from several object files (:file:`.o`). During the link step to create a shared
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object file (:file:`.so`), the linker may find that it doesn't know where an
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identifier is defined. The linker will look for it in the object files in the
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libraries; if it finds it, it will include all the code from that object file.
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In Windows, there are two types of library, a static library and an import
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library (both called :file:`.lib`). A static library is like a Unix :file:`.a`
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file; it contains code to be included as necessary. An import library is
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basically used only to reassure the linker that a certain identifier is legal,
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and will be present in the program when the DLL is loaded. So the linker uses
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the information from the import library to build the lookup table for using
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identifiers that are not included in the DLL. When an application or a DLL is
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linked, an import library may be generated, which will need to be used for all
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future DLLs that depend on the symbols in the application or DLL.
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Suppose you are building two dynamic-load modules, B and C, which should share
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another block of code A. On Unix, you would *not* pass :file:`A.a` to the
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linker for :file:`B.so` and :file:`C.so`; that would cause it to be included
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twice, so that B and C would each have their own copy. In Windows, building
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:file:`A.dll` will also build :file:`A.lib`. You *do* pass :file:`A.lib` to the
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linker for B and C. :file:`A.lib` does not contain code; it just contains
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information which will be used at runtime to access A's code.
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In Windows, using an import library is sort of like using ``import spam``; it
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gives you access to spam's names, but does not create a separate copy. On Unix,
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linking with a library is more like ``from spam import *``; it does create a
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separate copy.
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.. _win-dlls:
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Using DLLs in Practice
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======================
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.. sectionauthor:: Chris Phoenix <cphoenix@best.com>
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Windows Python is built in Microsoft Visual C++; using other compilers may or
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may not work (though Borland seems to). The rest of this section is MSVC++
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specific.
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When creating DLLs in Windows, you must pass :file:`pythonXY.lib` to the linker.
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To build two DLLs, spam and ni (which uses C functions found in spam), you could
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use these commands::
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cl /LD /I/python/include spam.c ../libs/pythonXY.lib
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cl /LD /I/python/include ni.c spam.lib ../libs/pythonXY.lib
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The first command created three files: :file:`spam.obj`, :file:`spam.dll` and
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:file:`spam.lib`. :file:`Spam.dll` does not contain any Python functions (such
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as :cfunc:`PyArg_ParseTuple`), but it does know how to find the Python code
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thanks to :file:`pythonXY.lib`.
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The second command created :file:`ni.dll` (and :file:`.obj` and :file:`.lib`),
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which knows how to find the necessary functions from spam, and also from the
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Python executable.
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Not every identifier is exported to the lookup table. If you want any other
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modules (including Python) to be able to see your identifiers, you have to say
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``_declspec(dllexport)``, as in ``void _declspec(dllexport) initspam(void)`` or
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``PyObject _declspec(dllexport) *NiGetSpamData(void)``.
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Developer Studio will throw in a lot of import libraries that you do not really
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need, adding about 100K to your executable. To get rid of them, use the Project
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Settings dialog, Link tab, to specify *ignore default libraries*. Add the
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correct :file:`msvcrtxx.lib` to the list of libraries.
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