mirror of https://github.com/python/cpython
5f190d2cc6
Adds a simple check for whether or not the package is being installed in the GUI or using installer on the command line. This addresses an issue where CLI-based software management tools (such as Munki) unexpectedly open Finder windows into a GUI session during installation runs. |
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resources | ||
scripts | ||
README.rst | ||
build-installer.py | ||
seticon.m | ||
tk868_on_10_8_10_9.patch |
README.rst
Building a Python Mac OS X distribution ======================================= The ``build-install.py`` script creates Python distributions, including certain third-party libraries as necessary. It builds a complete framework-based Python out-of-tree, installs it in a funny place with $DESTROOT, massages that installation to remove .pyc files and such, creates an Installer package from the installation plus other files in ``resources`` and ``scripts`` and placed that on a ``.dmg`` disk image. The installer package built on the dmg is a macOS bundle format installer package. This format is deprecated and is no longer supported by modern macOS systems; it is usable on macOS 10.6 and earlier systems. To be usable on newer versions of macOS, the bits in the bundle package must be assembled in a macOS flat installer package, using current versions of the pkgbuild and productbuild utilities. To pass macoS Gatekeeper download quarantine, the final package must be signed with a valid Apple Developer ID certificate using productsign. Starting with macOS 10.15 Catalina, Gatekeeper now also requires that installer packages are submitted to and pass Apple's automated notarization service using the altool command. To pass notarization, the binaries included in the package must be built with at least the macOS 10.9 SDK, mout now be signed with the codesign utility and executables must opt in to the hardened run time option with any necessary entitlements. Details of these processes are available in the on-line Apple Developer Documentation and man pages. As of 3.8.0 and 3.7.7, PSF practice is to build one installer variants for each release. Note that as of this writing, no Pythons support building on a newer version of macOS that will run on older versions by setting MACOSX_DEPLOYMENT_TARGET. This is because the various Python C modules do not yet support runtime testing of macOS feature availability (for example, by using macOS AvailabilityMacros.h and weak-linking). To build a Python that is to be used on a range of macOS releases, always build on the oldest release to be supported; the necessary shared libraries for that release will normally also be available on later systems, with the occasional exception such as the removal of 32-bit libraries in macOS 10.15. build-installer requires Apple Developer tools, either from the Command Line Tools package or from a full Xcode installation. You should use the most recent version of either for the operating system version in use. (One notable exception: on macOS 10.6, Snow Leopard, use Xcode 3, not Xcode 4 which was released later in the 10.6 support cycle.) 1. 64-bit, x86_64, for OS X 10.9 (and later):: /path/to/bootstrap/python2.7 build-installer.py \ --universal-archs=intel-64 \ --dep-target=10.9 - builds the following third-party libraries * OpenSSL 1.1.1 * Tcl/Tk 8.6 * NCurses * SQLite * XZ * libffi - uses system-supplied versions of third-party libraries * readline module links with Apple BSD editline (libedit) * zlib * bz2 - recommended build environment: * Mac OS X 10.9.5 * Xcode Command Line Tools 6.2 * ``MacOSX10.9`` SDK * ``MACOSX_DEPLOYMENT_TARGET=10.9`` * Apple ``clang`` General Prerequisites --------------------- * No Fink (in ``/sw``) or MacPorts (in ``/opt/local``) or Homebrew or other local libraries or utilities (in ``/usr/local``) as they could interfere with the build. * It is safest to start each variant build with an empty source directory populated with a fresh copy of the untarred source or a source repo. * It is recommended that you remove any existing installed version of the Python being built:: sudo rm -rf /Library/Frameworks/Python.framework/Versions/n.n