301 lines
12 KiB
Plaintext
301 lines
12 KiB
Plaintext
Quick Start Guide
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-----------------
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1. Install Microsoft Visual Studio 2015, any edition.
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2. Install Subversion, and make sure 'svn.exe' is on your PATH.
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3. Run "build.bat -e" to build Python in 32-bit Release configuration.
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4. (Optional, but recommended) Run the test suite with "rt.bat -q".
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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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6.0 or higher (Windows Vista, Windows Server 2008, 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++ 2015 (MSVC 14.0) of any edition. The specific
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requirements are as follows:
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Visual Studio Express 2015 for Desktop
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Visual Studio Professional 2015
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Either edition is sufficient for building all configurations except
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for Profile Guided Optimization.
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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 Studio, a warning about Solution Folders will
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be displayed, which can be safely dismissed with no impact on your
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ability to build Python.
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Required for building 64-bit Debug and Release configuration builds
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Visual Studio Premium 2015
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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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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". You can also build from the command
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line using the "build.bat" script in this directory; see below for
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details. The solution is configured to build the projects in the correct
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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 the
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win32 sub-directory. The x64 platform is used for building 64-bit AMD64
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(aka x86_64 or EM64T) binaries, output into the amd64 sub-directory.
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The Itanium (IA-64) platform is no longer supported.
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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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python36_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 may
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be 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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Building Python using the build.bat script
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----------------------------------------------
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In this directory you can find build.bat, a script designed to make
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building Python on Windows simpler. This script will use the env.bat
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script to detect one of Visual Studio 2015, 2013, 2012, or 2010, any of
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which may be used to build Python, though only Visual Studio 2015 is
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officially supported.
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By default, build.bat will build Python in Release configuration for
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the 32-bit Win32 platform. It accepts several arguments to change
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this behavior, try `build.bat -h` to learn more.
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C Runtime
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---------
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Visual Studio 2015 uses version 14 of the C runtime (MSVCRT14). 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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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:
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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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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 1.0.2k 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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libeay/ssleay sub-projects use.
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The libeay/ssleay sub-projects expect your OpenSSL sources to have
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already been configured and be ready to build. If you get your sources
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from svn.python.org as suggested in the "Getting External Sources"
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section below, the OpenSSL source will already be ready to go. If
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you want to build a different version, you will need to run
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PCbuild\prepare_ssl.py path\to\openssl-source-dir
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That script will prepare your OpenSSL sources in the same way that
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those available on svn.python.org have been prepared. Note that
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Perl must be installed and available on your PATH to configure
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OpenSSL. ActivePerl is recommended and is available from
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http://www.activestate.com/activeperl/
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The libeay and ssleay sub-projects will build the modules of OpenSSL
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required by _ssl and _hashlib and may need to be manually updated when
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upgrading to a newer version of OpenSSL or when adding new
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functionality to _ssl or _hashlib. They will not clean up their output
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with the normal Clean target; CleanAll should be used instead.
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_sqlite3
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Wraps SQLite 3.14.2.0, 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 8.6.6 of the Tk windowing system.
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Homepage:
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http://www.tcl.tk/
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Tkinter's dependencies are built by the tcl.vcxproj and tk.vcxproj
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projects. The tix.vcxproj project also builds the Tix extended
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widget set for use with Tkinter.
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Those three projects install their respective components in a
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directory alongside the source directories called "tcltk" on
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Win32 and "tcltk64" on x64. They also copy the Tcl and Tk DLLs
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into the current output directory, which should ensure that Tkinter
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is able to load Tcl/Tk without having to change your PATH.
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The tcl, tk, and tix sub-projects do not clean their builds with
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the normal Clean target; if you need to rebuild, you should use the
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CleanAll target or manually delete their builds.
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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. However, a simple script is provided to make this as
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painless as possible, called "get_externals.bat" and located in this
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directory. This script extracts all the external sub-projects from
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http://svn.python.org/projects/external
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via Subversion (so you'll need svn.exe on your PATH) and places them
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in ..\externals (relative to this directory).
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It is also possible to download sources from each project's homepage,
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though you may have to change folder names or pass the names to MSBuild
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as the values of certain properties in order for the build solution to
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find them. This is an advanced topic and not necessarily fully
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supported.
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The get_externals.bat script is called automatically by build.bat when
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you pass the '-e' option to it.
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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.140).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 use of Visual Studio property files (*.props)
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to simplify each project. The properties can be viewed in the Property
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Manager (View -> Other Windows -> Property Manager) but should be
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carefully modified by hand.
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The property files used are:
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* python (versions, directories and build names)
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* pyproject (base settings for all projects)
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* openssl (used by libeay and ssleay projects)
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* tcltk (used by _tkinter, tcl, tk and tix projects)
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The pyproject property file defines all of the build settings for each
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project, with some projects overriding certain specific values. The GUI
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doesn't always reflect the correct settings and may confuse the user
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with false information, especially for settings that automatically adapt
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for diffirent configurations.
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