mirror of
https://github.com/python/cpython
synced 2024-11-02 10:13:47 +00:00
677744b386
This removes the need to add externals/tcltk[64]/bin to PATH to be able to import tkinter. Also documents the necessity for the DLLs to be on PATH or in python.exe's directory.
320 lines
13 KiB
Text
320 lines
13 KiB
Text
Building Python using Microsoft Visual C++
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------------------------------------------
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This directory is used to build CPython for Microsoft Windows NT version
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5.1 or higher (Windows XP, Windows Server 2003, or later) on 32 and 64
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bit platforms. Using this directory requires an installation of
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Microsoft Visual C++ 2010 (MSVC 10.0) of any edition. The specific
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requirements are as follows:
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Visual C++ 2010 Express Edition
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Required for building 32-bit Debug and Release configuration builds.
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The Python build solution pcbuild.sln makes use of Solution Folders,
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which this edition does not support. Any time pcbuild.sln is opened
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or reloaded by Visual C++, a warning about Solution Folders will be
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displayed which can be safely dismissed with no impact on your
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ability to build Python.
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Visual Studio 2010 Professional Edition
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Required for building 64-bit Debug and Release configuration builds
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Visual Studio 2010 Premium Edition
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Required for building Release configuration builds that make use of
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Profile Guided Optimization (PGO), on either platform.
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Installing Service Pack 1 for Visual Studio 2010 is highly recommended
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to avoid LNK1123 errors.
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All you need to do to build is open the solution "pcbuild.sln" in Visual
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Studio, select the desired combination of configuration and platform,
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then build with "Build Solution" or the F7 keyboard shortcut. You can
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also build from the command line using the "build.bat" script in this
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directory. The solution is configured to build the projects in the
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correct order.
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The solution currently supports two platforms. The Win32 platform is
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used to build standard x86-compatible 32-bit binaries, output into this
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directory. The x64 platform is used for building 64-bit AMD64 (aka
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x86_64 or EM64T) binaries, output into the amd64 sub-directory which
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will be created if it doesn't already exist. The Itanium (IA-64)
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platform is no longer supported. See the "Building for AMD64" section
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below for more information about 64-bit builds.
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Four configuration options are supported by the solution:
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Debug
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Used to build Python with extra debugging capabilities, equivalent
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to using ./configure --with-pydebug on UNIX. All binaries built
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using this configuration have "_d" added to their name:
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python34_d.dll, python_d.exe, parser_d.pyd, and so on. Both the
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build and rt (run test) batch files in this directory accept a -d
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option for debug builds. If you are building Python to help with
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development of CPython, you will most likely use this configuration.
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PGInstrument, PGUpdate
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Used to build Python in Release configuration using PGO, which
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requires Premium Edition of Visual Studio. See the "Profile
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Guided Optimization" section below for more information. Build
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output from each of these configurations lands in its own
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sub-directory of this directory. The official Python releases are
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built using these configurations.
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Release
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Used to build Python as it is meant to be used in production
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settings, though without PGO.
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Legacy support
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--------------
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You can find build directories for older versions of Visual Studio and
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Visual C++ in the PC directory. The legacy build directories are no
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longer actively maintained and may not work out of the box.
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Currently, the only legacy build directory is PC\VS9.0, for Visual
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Studio 2008 (9.0).
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C Runtime
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---------
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Visual Studio 2010 uses version 10 of the C runtime (MSVCRT10). The
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executables no longer use the "Side by Side" assemblies used in previous
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versions of the compiler. This simplifies distribution of applications.
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The run time libraries are available under the VC/Redist folder of your
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Visual Studio distribution. For more info, see the Readme in the
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VC/Redist folder.
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Sub-Projects
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------------
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The CPython project is split up into several smaller sub-projects which
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are managed by the pcbuild.sln solution file. Each sub-project is
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represented by a .vcxproj and a .vcxproj.filters file starting with the
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name of the sub-project. These sub-projects fall into a few general
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categories:
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The following sub-projects represent the bare minimum required to build
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a functioning CPython interpreter. If nothing else builds but these,
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you'll have a very limited but usable python.exe:
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pythoncore
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.dll and .lib
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python
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.exe
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kill_python
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kill_python.exe, a small program designed to kill any instances of
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python(_d).exe that are running and live in the build output
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directory; this is meant to avoid build issues due to locked files
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make_buildinfo, make_versioninfo
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helpers to provide necessary information to the build process
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These sub-projects provide extra executables that are useful for running
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CPython in different ways:
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pythonw
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pythonw.exe, a variant of python.exe that doesn't open a Command
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Prompt window
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pylauncher
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py.exe, the Python Launcher for Windows, see
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http://docs.python.org/3/using/windows.html#launcher
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pywlauncher
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pyw.exe, a variant of py.exe that doesn't open a Command Prompt
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window
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_testembed
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_testembed.exe, a small program that embeds Python for testing
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purposes, used by test_capi.py
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These are miscellaneous sub-projects that don't really fit the other
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categories. By default, these projects do not build in Debug
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configuration:
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_freeze_importlib
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_freeze_importlib.exe, used to regenerate Python\importlib.h after
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changes have been made to Lib\importlib\_bootstrap.py
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bdist_wininst
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..\Lib\distutils\command\wininst-10.0[-amd64].exe, the base
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executable used by the distutils bdist_wininst command
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python3dll
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python3.dll, the PEP 384 Stable ABI dll
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xxlimited
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builds an example module that makes use of the PEP 384 Stable ABI,
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see Modules\xxlimited.c
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The following sub-projects are for individual modules of the standard
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library which are implemented in C; each one builds a DLL (renamed to
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.pyd) of the same name as the project:
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_ctypes
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_ctypes_test
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_decimal
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_elementtree
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_hashlib
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_msi
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_multiprocessing
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_overlapped
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_socket
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_testcapi
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_testbuffer
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_testimportmultiple
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pyexpat
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select
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unicodedata
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winsound
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The following Python-controlled sub-projects wrap external projects.
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Note that these external libraries are not necessary for a working
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interpreter, but they do implement several major features. See the
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"Getting External Sources" section below for additional information
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about getting the source for building these libraries. The sub-projects
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are:
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_bz2
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Python wrapper for version 1.0.6 of the libbzip2 compression library
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Homepage:
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http://www.bzip.org/
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_lzma
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Python wrapper for the liblzma compression library, using pre-built
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binaries of XZ Utils version 5.0.5
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Homepage:
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http://tukaani.org/xz/
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_ssl
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Python wrapper for version 1.0.2d of the OpenSSL secure sockets
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library, which is built by ssl.vcxproj
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Homepage:
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http://www.openssl.org/
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Building OpenSSL requires nasm.exe (the Netwide Assembler), version
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2.10 or newer from
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http://www.nasm.us/
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to be somewhere on your PATH. More recent versions of OpenSSL may
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need a later version of NASM. If OpenSSL's self tests don't pass,
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you should first try to update NASM and do a full rebuild of
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OpenSSL. If you use the PCbuild\get_externals.bat method
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for getting sources, it also downloads a version of NASM which the
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ssl build script will add to PATH.
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If you like to use the official sources instead of the files from
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python.org's subversion repository, Perl is required to build the
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necessary makefiles and assembly files. ActivePerl is available
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from
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http://www.activestate.com/activeperl/
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The svn.python.org version contains pre-built makefiles and assembly
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files.
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The build process makes sure that no patented algorithms are
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included. For now RC5, MDC2 and IDEA are excluded from the build.
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You may have to manually remove $(OBJ_D)\i_*.obj from ms\nt.mak if
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using official sources; the svn.python.org-hosted version is already
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fixed.
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The ssl.vcxproj sub-project simply invokes PCbuild/build_ssl.py,
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which locates and builds OpenSSL.
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build_ssl.py attempts to catch the most common errors (such as not
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being able to find OpenSSL sources, or not being able to find a Perl
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that works with OpenSSL) and give a reasonable error message. If
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you have a problem that doesn't seem to be handled correctly (e.g.,
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you know you have ActivePerl but we can't find it), please take a
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peek at build_ssl.py and suggest patches. Note that build_ssl.py
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should be able to be run directly from the command-line.
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The ssl sub-project does not have the ability to clean the OpenSSL
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build; if you need to rebuild, you'll have to clean it by hand.
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_sqlite3
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Wraps SQLite 3.8.11.0, which is itself built by sqlite3.vcxproj
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Homepage:
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http://www.sqlite.org/
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_tkinter
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Wraps version 8.6.1 of the Tk windowing system.
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Homepage:
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http://www.tcl.tk/
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Unlike the other external libraries listed above, Tk must be built
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separately before the _tkinter module can be built. This means that
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a pre-built Tcl/Tk installation is expected in ..\externals\tcltk
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(tcltk64 for 64-bit) relative to this directory; the easiest way to
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do so is to build Python using `build.bat -e`, which will build
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Tcl, Tk, and Tix and install them as expected. Note that to
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import and use tkinter, the Tcl and Tk DLLs must be somewhere that
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python.exe can find them, which means that either
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..\externals\tcltk[64]\bin must be added to PATH, or the DLLs must
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be copied from that folder to be alongside python.exe. `build.bat`
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takes care of it for you by copying the DLLs into the build
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directory.
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Getting External Sources
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------------------------
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The last category of sub-projects listed above wrap external projects
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Python doesn't control, and as such a little more work is required in
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order to download the relevant source files for each project before they
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can be built. The easiest way to do this is to use the `build.bat`
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script in this directory to build Python, and pass the '-e' switch to
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tell it to use get_externals.bat to fetch external sources and build
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Tcl/Tk and Tix. To use get_externals.bat, you'll need to have
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Subversion installed and svn.exe on your PATH. The script will fetch
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external library sources from http://svn.python.org/external and place
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them in ..\externals (relative to this directory).
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Building for AMD64
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------------------
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The build process for AMD64 / x64 is very similar to standard builds,
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you just have to set x64 as platform. In addition, the HOST_PYTHON
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environment variable must point to a Python interpreter (at least 2.4),
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to support cross-compilation from Win32. Note that Visual Studio
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requires Professional Edition or better in order to build 64-bit
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binaries.
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Profile Guided Optimization
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---------------------------
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The solution has two configurations for PGO. The PGInstrument
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configuration must be built first. The PGInstrument binaries are linked
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against a profiling library and contain extra debug information. The
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PGUpdate configuration takes the profiling data and generates optimized
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binaries.
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The build_pgo.bat script automates the creation of optimized binaries.
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It creates the PGI files, runs the unit test suite or PyBench with the
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PGI python, and finally creates the optimized files.
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See
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http://msdn.microsoft.com/en-us/library/e7k32f4k(VS.100).aspx
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for more on this topic.
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Static library
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--------------
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The solution has no configuration for static libraries. However it is
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easy to build a static library instead of a DLL. You simply have to set
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the "Configuration Type" to "Static Library (.lib)" and alter the
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preprocessor macro "Py_ENABLE_SHARED" to "Py_NO_ENABLE_SHARED". You may
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also have to change the "Runtime Library" from "Multi-threaded DLL
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(/MD)" to "Multi-threaded (/MT)".
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Visual Studio properties
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------------------------
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The PCbuild solution makes heavy use of Visual Studio property files
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(*.props). The properties can be viewed and altered in the Property
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Manager (View -> Other Windows -> Property Manager).
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The property files used are (+-- = "also imports"):
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* debug (debug macro: _DEBUG)
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* pginstrument (PGO)
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* pgupdate (PGO)
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+-- pginstrument
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* pyd (python extension, release build)
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+-- release
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+-- pyproject
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* pyd_d (python extension, debug build)
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+-- debug
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+-- pyproject
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* pyproject (base settings for all projects, user macros like PyDllName)
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* release (release macro: NDEBUG)
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* sqlite3 (used only by sqlite3.vcxproj)
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* x64 (AMD64 / x64 platform specific settings)
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The pyproject property file defines _WIN32 and x64 defines _WIN64 and
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_M_X64 although the macros are set by the compiler, too. The GUI doesn't
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always know about the macros and confuse the user with false
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information.
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