640 lines
28 KiB
Plaintext
640 lines
28 KiB
Plaintext
PEP: 513
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Title: A Platform Tag for Portable Linux Built Distributions
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Version: $Revision$
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Last-Modified: $Date$
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Author: Robert T. McGibbon <rmcgibbo@gmail.com>, Nathaniel J. Smith <njs@pobox.com>
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BDFL-Delegate: Nick Coghlan <ncoghlan@gmail.com>
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Discussions-To: Distutils SIG <distutils-sig@python.org>
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Status: Superseded
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Type: Informational
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Content-Type: text/x-rst
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Created: 19-Jan-2016
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Post-History: 19-Jan-2016, 25-Jan-2016, 29-Jan-2016
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Superseded-By: 600
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Resolution: https://mail.python.org/pipermail/distutils-sig/2016-January/028211.html
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Abstract
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========
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This PEP proposes the creation of a new platform tag for Python package built
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distributions, such as wheels, called ``manylinux1_{x86_64,i686}`` with
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external dependencies limited to a standardized, restricted subset of
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the Linux kernel and core userspace ABI. It proposes that PyPI support
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uploading and distributing wheels with this platform tag, and that ``pip``
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support downloading and installing these packages on compatible platforms.
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Rationale
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=========
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Currently, distribution of binary Python extensions for Windows and OS X is
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straightforward. Developers and packagers build wheels (:pep:`427`, :pep:`491`),
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which are
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assigned platform tags such as ``win32`` or ``macosx_10_6_intel``, and upload
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these wheels to PyPI. Users can download and install these wheels using tools
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such as ``pip``.
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For Linux, the situation is much more delicate. In general, compiled Python
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extension modules built on one Linux distribution will not work on other Linux
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distributions, or even on different machines running the same Linux
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distribution with different system libraries installed.
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Build tools using :pep:`425` platform tags do not track information about the
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particular Linux distribution or installed system libraries, and instead assign
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all wheels the too-vague ``linux_i686`` or ``linux_x86_64`` tags. Because of
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this ambiguity, there is no expectation that ``linux``-tagged built
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distributions compiled on one machine will work properly on another, and for
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this reason, PyPI has not permitted the uploading of wheels for Linux.
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It would be ideal if wheel packages could be compiled that would work on *any*
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linux system. But, because of the incredible diversity of Linux systems -- from
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PCs to Android to embedded systems with custom libcs -- this cannot
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be guaranteed in general.
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Instead, we define a standard subset of the kernel+core userspace ABI that,
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in practice, is compatible enough that packages conforming to this standard
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will work on *many* linux systems, including essentially all of the desktop
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and server distributions in common use. We know this because there are
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companies who have been distributing such widely-portable pre-compiled Python
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extension modules for Linux -- e.g. Enthought with Canopy [4]_ and Continuum
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Analytics with Anaconda [5]_.
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Building on the compatibility lessons learned from these companies, we thus
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define a baseline ``manylinux1`` platform tag for use by binary Python
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wheels, and introduce the implementation of preliminary tools to aid in the
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construction of these ``manylinux1`` wheels.
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Key Causes of Inter-Linux Binary Incompatibility
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================================================
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To properly define a standard that will guarantee that wheel packages meeting
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this specification will operate on *many* linux platforms, it is necessary to
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understand the root causes which often prevent portability of pre-compiled
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binaries on Linux. The two key causes are dependencies on shared libraries
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which are not present on users' systems, and dependencies on particular
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versions of certain core libraries like ``glibc``.
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External Shared Libraries
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-------------------------
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Most desktop and server linux distributions come with a system package manager
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(examples include ``APT`` on Debian-based systems, ``yum`` on
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``RPM``-based systems, and ``pacman`` on Arch linux) that manages, among other
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responsibilities, the installation of shared libraries installed to system
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directories such as ``/usr/lib``. Most non-trivial Python extensions will depend
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on one or more of these shared libraries, and thus function properly only on
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systems where the user has the proper libraries (and the proper
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versions thereof), either installed using their package manager, or installed
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manually by setting certain environment variables such as ``LD_LIBRARY_PATH``
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to notify the runtime linker of the location of the depended-upon shared
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libraries.
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Versioning of Core Shared Libraries
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-----------------------------------
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Even if the developers a Python extension module wish to use no
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external shared libraries, the modules will generally have a dynamic runtime
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dependency on the GNU C library, ``glibc``. While it is possible, statically
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linking ``glibc`` is usually a bad idea because certain important C functions
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like ``dlopen()`` cannot be called from code that statically links ``glibc``. A
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runtime shared library dependency on a system-provided ``glibc`` is unavoidable
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in practice.
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The maintainers of the GNU C library follow a strict symbol versioning scheme
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for backward compatibility. This ensures that binaries compiled against an older
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version of ``glibc`` can run on systems that have a newer ``glibc``. The
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opposite is generally not true -- binaries compiled on newer Linux
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distributions tend to rely upon versioned functions in ``glibc`` that are not
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available on older systems.
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This generally prevents wheels compiled on the latest Linux distributions
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from being portable.
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The ``manylinux1`` policy
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=========================
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For these reasons, to achieve broad portability, Python wheels
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* should depend only on an extremely limited set of external shared
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libraries; and
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* should depend only on "old" symbol versions in those external shared
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libraries; and
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* should depend only on a widely-compatible kernel ABI.
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To be eligible for the ``manylinux1`` platform tag, a Python wheel must
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therefore both (a) contain binary executables and compiled code that links
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*only* to libraries with SONAMEs
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included in the following list: ::
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libpanelw.so.5
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libncursesw.so.5
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libgcc_s.so.1
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libstdc++.so.6
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libm.so.6
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libdl.so.2
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librt.so.1
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libc.so.6
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libnsl.so.1
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libutil.so.1
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libpthread.so.0
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libresolv.so.2
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libX11.so.6
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libXext.so.6
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libXrender.so.1
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libICE.so.6
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libSM.so.6
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libGL.so.1
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libgobject-2.0.so.0
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libgthread-2.0.so.0
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libglib-2.0.so.0
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and, (b) work on a stock CentOS 5.11 [6]_ system that contains the system
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package manager's provided versions of these libraries.
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``libcrypt.so.1`` was retrospectively removed from the whitelist after
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Fedora 30 was released with ``libcrypt.so.2`` instead.
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Because CentOS 5 is only available for x86_64 and i686 architectures,
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these are the only architectures currently supported by the ``manylinux1``
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policy.
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On Debian-based systems, these libraries are provided by the packages ::
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libncurses5 libgcc1 libstdc++6 libc6 libx11-6 libxext6
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libxrender1 libice6 libsm6 libgl1-mesa-glx libglib2.0-0
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On RPM-based systems, these libraries are provided by the packages ::
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ncurses libgcc libstdc++ glibc libXext libXrender
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libICE libSM mesa-libGL glib2
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This list was compiled by checking the external shared library dependencies of
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the Canopy [4]_ and Anaconda [5]_ distributions, which both include a wide array
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of the most popular Python modules and have been confirmed in practice to work
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across a wide swath of Linux systems in the wild.
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Many of the permitted system libraries listed above use symbol versioning
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schemes for backward compatibility. The latest symbol versions provided with
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the CentOS 5.11 versions of these libraries are: ::
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GLIBC_2.5
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CXXABI_3.4.8
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GLIBCXX_3.4.9
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GCC_4.2.0
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Therefore, as a consequence of requirement (b), any wheel that depends on
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versioned symbols from the above shared libraries may depend only on symbols
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with the following versions: ::
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GLIBC <= 2.5
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CXXABI <= 3.4.8
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GLIBCXX <= 3.4.9
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GCC <= 4.2.0
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These recommendations are the outcome of the relevant discussions in January
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2016 [7]_, [8]_.
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Note that in our recommendations below, we do not suggest that ``pip``
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or PyPI should attempt to check for and enforce the details of this
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policy (just as they don't check for and enforce the details of
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existing platform tags like ``win32``). The text above is provided (a)
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as advice to package builders, and (b) as a method for allocating
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blame if a given wheel doesn't work on some system: if it satisfies
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the policy above, then this is a bug in the spec or the installation
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tool; if it does not satisfy the policy above, then it's a bug in the
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wheel. One useful consequence of this approach is that it leaves open
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the possibility of further updates and tweaks as we gain more
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experience, e.g., we could have a "manylinux 1.1" policy which targets
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the same systems and uses the same ``manylinux1`` platform tag (and
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thus requires no further changes to ``pip`` or PyPI), but that adjusts
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the list above to remove libraries that have turned out to be
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problematic or add libraries that have turned out to be safe.
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libpythonX.Y.so.1
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-----------------
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Note that ``libpythonX.Y.so.1`` is *not* on the list of libraries that
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a ``manylinux1`` extension is allowed to link to. Explicitly linking
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to ``libpythonX.Y.so.1`` is unnecessary in almost all cases: the way
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ELF linking works, extension modules that are loaded into the
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interpreter automatically get access to all of the interpreter's
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symbols, regardless of whether or not the extension itself is
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explicitly linked against libpython. Furthermore, explicit linking to
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libpython creates problems in the common configuration where Python is
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not built with ``--enable-shared``. In particular, on Debian and
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Ubuntu systems, ``apt install pythonX.Y`` does not even install
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``libpythonX.Y.so.1``, meaning that any wheel that *did* depend on
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``libpythonX.Y.so.1`` could fail to import.
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There is one situation where extensions that are linked in this way
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can fail to work: if a host program (e.g., ``apache2``) uses
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``dlopen()`` to load a module (e.g., ``mod_wsgi``) that embeds the
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CPython interpreter, and the host program does *not* pass the
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``RTLD_GLOBAL`` flag to ``dlopen()``, then the embedded CPython will
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be unable to load any extension modules that do not themselves link
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explicitly to ``libpythonX.Y.so.1``. Fortunately, ``apache2`` *does*
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set the ``RTLD_GLOBAL`` flag, as do all the other programs that
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embed-CPython-via-a-dlopened-plugin that we could locate, so this does
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not seem to be a serious problem in practice. The incompatibility with
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Debian/Ubuntu is more of an issue than the theoretical incompatibility
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with a rather obscure corner case.
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This is a rather complex and subtle issue that extends beyond
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the scope of ``manylinux1``; for more discussion see: [9]_, [10]_,
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[11]_.
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UCS-2 vs UCS-4 builds
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---------------------
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All versions of CPython 2.x, plus CPython 3.0-3.2 inclusive, can be
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built in two ABI-incompatible modes: builds using the
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``--enable-unicode=ucs2`` configure flag store Unicode data in UCS-2
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(or really UTF-16) format, while builds using the
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``--enable-unicode=ucs4`` configure flag store Unicode data in
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UCS-4. (CPython 3.3 and greater use a different storage method that
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always supports UCS-4.) If we want to make sure ``ucs2`` wheels don't
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get installed into ``ucs4`` CPythons and vice-versa, then something
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must be done.
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An earlier version of this PEP included a requirement that
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``manylinux1`` wheels targeting these older CPython versions should
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always use the ``ucs4`` ABI. But then, in between the PEP's initial
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acceptance and its implementation, ``pip`` and ``wheel`` gained
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first-class support for tracking and checking this aspect of ABI
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compatibility for the relevant CPython versions, which is a better
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solution. So we now allow the ``manylinux1`` platform tags to be used
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in combination with any ABI tag. However, to maintain compatibility it
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is crucial to ensure that all ``manylinux1`` wheels include a
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non-trivial abi tag. For example, a wheel built against a ``ucs4``
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CPython might have a name like::
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PKG-VERSION-cp27-cp27mu-manylinux1_x86_64.whl
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^^^^^^ Good!
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While a wheel built against the ``ucs2`` ABI might have a name like::
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PKG-VERSION-cp27-cp27m-manylinux1_x86_64.whl
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^^^^^ Okay!
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But you should never have a wheel with a name like::
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PKG-VERSION-cp27-none-manylinux1_x86_64.whl
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^^^^ BAD! Don't do this!
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This wheel claims to be simultaneously compatible with *both* ucs2 and
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ucs4 builds, which is bad.
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We note for information that the ``ucs4`` ABI appears to be much more
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widespread among Linux CPython distributors.
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fpectl builds vs. no fpectl builds
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----------------------------------
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All extant versions of CPython can be built either with or without the
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``--with-fpectl`` flag to ``configure``. It turns out that this
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changes the CPython ABI: extensions that are built against a
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no-``fpectl`` CPython are always compatible with yes-``fpectl``
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CPython, but the reverse is not necessarily true. (Symptom: errors at
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import time complaining about ``undefined symbol: PyFPE_jbuf``.) See:
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[16]_.
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For maximum compatibility, therefore, the CPython used to build
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manylinux1 wheels must be compiled *without* the ``--with-fpectl``
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flag, and manylinux1 extensions must not reference the symbol
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``PyFPE_jbuf``.
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Compilation of Compliant Wheels
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===============================
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The way glibc, libgcc, and libstdc++ manage their symbol versioning
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means that in practice, the compiler toolchains that most developers
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use to do their daily work are incapable of building
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``manylinux1``-compliant wheels. Therefore, we do not attempt to change
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the default behavior of ``pip wheel`` / ``bdist_wheel``: they will
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continue to generate regular ``linux_*`` platform tags, and developers
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who wish to use them to generate ``manylinux1``-tagged wheels will
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have to change the tag as a second post-processing step.
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To support the compilation of wheels meeting the ``manylinux1`` standard, we
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provide initial drafts of two tools.
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Docker Image
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------------
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The first tool is a Docker image based on CentOS 5.11, which is recommended as
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an easy to use self-contained build box for compiling ``manylinux1`` wheels
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[12]_. Compiling on a more recently-released linux distribution will generally
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introduce dependencies on too-new versioned symbols. The image comes with a
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full compiler suite installed (``gcc``, ``g++``, and ``gfortran`` 4.8.2) as
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well as the latest releases of Python and ``pip``.
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Auditwheel
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----------
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The second tool is a command line executable called ``auditwheel`` [13]_ that
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may aid in package maintainers in dealing with third-party external
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dependencies.
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There are at least three methods for building wheels that use third-party
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external libraries in a way that meets the above policy.
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1. The third-party libraries can be statically linked.
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2. The third-party shared libraries can be distributed in
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separate packages on PyPI which are depended upon by the wheel.
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3. The third-party shared libraries can be bundled inside the wheel
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libraries, linked with a relative path.
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All of these are valid option which may be effectively used by different
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packages and communities. Statically linking generally requires
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package-specific modifications to the build system, and distributing
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third-party dependencies on PyPI may require some coordination of the
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community of users of the package.
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As an often-automatic alternative to these options, we introduce ``auditwheel``.
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The tool inspects all of the ELF files inside a wheel to check for
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dependencies on versioned symbols or external shared libraries, and verifies
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conformance with the ``manylinux1`` policy. This includes the ability to add
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the new platform tag to conforming wheels. More importantly, ``auditwheel`` has
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the ability to automatically modify wheels that depend on external shared
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libraries by copying those shared libraries from the system into the wheel
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itself, and modifying the appropriate ``RPATH`` entries such that these
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libraries will be picked up at runtime. This accomplishes a similar result as
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if the libraries had been statically linked without requiring changes to the
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build system. Packagers are advised that bundling, like static linking, may
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implicate copyright concerns.
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Bundled Wheels on Linux
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=======================
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While we acknowledge many approaches for dealing with third-party library
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dependencies within ``manylinux1`` wheels, we recognize that the ``manylinux1``
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policy encourages bundling external dependencies, a practice
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which runs counter to the package management policies of many linux
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distributions' system package managers [14]_, [15]_. The primary purpose of
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this is cross-distro compatibility. Furthermore, ``manylinux1`` wheels on PyPI
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occupy a different niche than the Python packages available through the
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system package manager.
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The decision in this PEP to encourage departure from general Linux distribution
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unbundling policies is informed by the following concerns:
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1. In these days of automated continuous integration and deployment
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pipelines, publishing new versions and updating dependencies is easier
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than it was when those policies were defined.
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2. ``pip`` users remain free to use the ``"--no-binary"`` option if they want
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to force local builds rather than using pre-built wheel files.
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3. The popularity of modern container based deployment and "immutable
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infrastructure" models involve substantial bundling at the application
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layer anyway.
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4. Distribution of bundled wheels through PyPI is currently the norm for
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Windows and OS X.
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5. This PEP doesn't rule out the idea of offering more targeted binaries for
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particular Linux distributions in the future.
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The model described in this PEP is most ideally suited for cross-platform
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Python packages, because it means they can reuse much of the
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work that they're already doing to make static Windows and OS X wheels. We
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recognize that it is less optimal for Linux-specific packages that might
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prefer to interact more closely with Linux's unique package management
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functionality and only care about targeting a small set of particular distos.
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Security Implications
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---------------------
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One of the advantages of dependencies on centralized libraries in Linux is
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that bugfixes and security updates can be deployed system-wide, and
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applications which depend on these libraries will automatically feel the
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effects of these patches when the underlying libraries are updated. This can
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be particularly important for security updates in packages engaged in
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communication across the network or cryptography.
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``manylinux1`` wheels distributed through PyPI that bundle security-critical
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libraries like OpenSSL will thus assume responsibility for prompt updates in
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response disclosed vulnerabilities and patches. This closely parallels the
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security implications of the distribution of binary wheels on Windows that,
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because the platform lacks a system package manager, generally bundle their
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dependencies. In particular, because it lacks a stable ABI, OpenSSL cannot be
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included in the ``manylinux1`` profile.
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Platform Detection for Installers
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=================================
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Above, we defined what it means for a *wheel* to be
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``manylinux1``-compatible. Here we discuss what it means for a *Python
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installation* to be ``manylinux1``-compatible. In particular, this is
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important for tools like ``pip`` to know when deciding whether or not
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they should consider ``manylinux1``-tagged wheels for installation.
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Because the ``manylinux1`` profile is already known to work for the
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many thousands of users of popular commercial Python distributions, we
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suggest that installation tools should error on the side of assuming
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that a system *is* compatible, unless there is specific reason to
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think otherwise.
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We know of four main sources of potential incompatibility that are
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likely to arise in practice:
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* Eventually, in the future, there may exist distributions that break
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compatibility with this profile (e.g., if one of the libraries in
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the profile changes its ABI in a backwards-incompatible way)
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* A linux distribution that is too old (e.g. RHEL 4)
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* A linux distribution that does not use ``glibc`` (e.g. Alpine Linux, which is
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based on musl ``libc``, or Android)
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To address these we propose a two-pronged
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approach. To handle potential future incompatibilities, we standardize
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a mechanism for a Python distributor to signal that a particular
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Python install definitely is or is not compatible with ``manylinux1``:
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this is done by installing a module named ``_manylinux``, and setting
|
|
its ``manylinux1_compatible`` attribute. We do not propose adding any
|
|
such module to the standard library -- this is merely a well-known
|
|
name by which distributors and installation tools can
|
|
rendezvous. However, if a distributor does add this module, *they
|
|
should add it to the standard library* rather than to a
|
|
``site-packages/`` directory, because the standard library is
|
|
inherited by virtualenvs (which we want), and ``site-packages/`` in
|
|
general is not.
|
|
|
|
Then, to handle the last two cases for existing Python
|
|
distributions, we suggest a simple and reliable method to check for
|
|
the presence and version of ``glibc`` (basically using it as a "clock"
|
|
for the overall age of the distribution).
|
|
|
|
Specifically, the algorithm we propose is::
|
|
|
|
def is_manylinux1_compatible():
|
|
# Only Linux, and only x86-64 / i686
|
|
from distutils.util import get_platform
|
|
if get_platform() not in ["linux-x86_64", "linux-i686"]:
|
|
return False
|
|
|
|
# Check for presence of _manylinux module
|
|
try:
|
|
import _manylinux
|
|
return bool(_manylinux.manylinux1_compatible)
|
|
except (ImportError, AttributeError):
|
|
# Fall through to heuristic check below
|
|
pass
|
|
|
|
# Check glibc version. CentOS 5 uses glibc 2.5.
|
|
return have_compatible_glibc(2, 5)
|
|
|
|
def have_compatible_glibc(major, minimum_minor):
|
|
import ctypes
|
|
|
|
process_namespace = ctypes.CDLL(None)
|
|
try:
|
|
gnu_get_libc_version = process_namespace.gnu_get_libc_version
|
|
except AttributeError:
|
|
# Symbol doesn't exist -> therefore, we are not linked to
|
|
# glibc.
|
|
return False
|
|
|
|
# Call gnu_get_libc_version, which returns a string like "2.5".
|
|
gnu_get_libc_version.restype = ctypes.c_char_p
|
|
version_str = gnu_get_libc_version()
|
|
# py2 / py3 compatibility:
|
|
if not isinstance(version_str, str):
|
|
version_str = version_str.decode("ascii")
|
|
|
|
# Parse string and check against requested version.
|
|
version = [int(piece) for piece in version_str.split(".")]
|
|
assert len(version) == 2
|
|
if major != version[0]:
|
|
return False
|
|
if minimum_minor > version[1]:
|
|
return False
|
|
return True
|
|
|
|
**Rejected alternatives:** We also considered using a configuration
|
|
file, e.g. ``/etc/python/compatibility.cfg``. The problem with this is
|
|
that a single filesystem might contain many different interpreter
|
|
environments, each with their own ABI profile -- the ``manylinux1``
|
|
compatibility of a system-installed x86_64 CPython might not tell us
|
|
much about the ``manylinux1`` compatibility of a user-installed i686
|
|
PyPy. Locating this configuration information within the Python
|
|
environment itself ensures that it remains attached to the correct
|
|
binary, and dramatically simplifies lookup code.
|
|
|
|
We also considered using a more elaborate structure, like a list of
|
|
all platform tags that should be considered compatible, together with
|
|
their preference ordering, for example: ``_binary_compat.compatible =
|
|
["manylinux1_x86_64", "centos5_x86_64", "linux_x86_64"]``. However,
|
|
this introduces several complications. For example, we want to be able
|
|
to distinguish between the state of "doesn't support ``manylinux1``"
|
|
(or eventually ``manylinux2``, etc.) versus "doesn't specify either
|
|
way whether it supports ``manylinux1``", which is not entirely obvious
|
|
in the above representation; and, it's not at all clear what features
|
|
are really needed vis a vis preference ordering given that right now
|
|
the only possible platform tags are ``manylinux1`` and ``linux``. So
|
|
we're deferring a more complete solution here for a separate PEP, when
|
|
/ if Linux gets more platform tags.
|
|
|
|
For the library compatibility check, we also considered much more
|
|
elaborate checks (e.g. checking the kernel version, searching for and
|
|
checking the versions of all the individual libraries listed in the
|
|
``manylinux1`` profile, etc.), but ultimately decided that this would
|
|
be more likely to introduce confusing bugs than actually help the
|
|
user. (For example: different distributions vary in where they
|
|
actually put these libraries, and if our checking code failed to use
|
|
the correct path search then it could easily return incorrect
|
|
answers.)
|
|
|
|
|
|
|
|
PyPI Support
|
|
============
|
|
|
|
PyPI should permit wheels containing the ``manylinux1`` platform tag to be
|
|
uploaded. PyPI should not attempt to formally verify that wheels containing
|
|
the ``manylinux1`` platform tag adhere to the ``manylinux1`` policy described
|
|
in this document. This verification tasks should be left to other tools, like
|
|
``auditwheel``, that are developed separately.
|
|
|
|
|
|
Rejected Alternatives
|
|
=====================
|
|
|
|
One alternative would be to provide separate platform tags for each Linux
|
|
distribution (and each version thereof), e.g. ``RHEL6``, ``ubuntu14_10``,
|
|
``debian_jessie``, etc. Nothing in this proposal rules out the possibility of
|
|
adding such platform tags in the future, or of further extensions to wheel
|
|
metadata that would allow wheels to declare dependencies on external
|
|
system-installed packages. However, such extensions would require substantially
|
|
more work than this proposal, and still might not be appreciated by package
|
|
developers who would prefer not to have to maintain multiple build environments
|
|
and build multiple wheels in order to cover all the common Linux distributions.
|
|
Therefore, we consider such proposals to be out-of-scope for this PEP.
|
|
|
|
|
|
Future updates
|
|
==============
|
|
|
|
We anticipate that at some point in the future there will be a
|
|
``manylinux2`` specifying a more modern baseline environment (perhaps
|
|
based on CentOS 6), and someday a ``manylinux3`` and so forth, but we
|
|
defer specifying these until we have more experience with the initial
|
|
``manylinux1`` proposal.
|
|
|
|
|
|
References
|
|
==========
|
|
|
|
.. [4] Enthought Canopy Python Distribution
|
|
(https://store.enthought.com/downloads/)
|
|
.. [5] Continuum Analytics Anaconda Python Distribution
|
|
(https://www.continuum.io/downloads)
|
|
.. [6] CentOS 5.11 Release Notes
|
|
(https://wiki.centos.org/Manuals/ReleaseNotes/CentOS5.11)
|
|
.. [7] manylinux-discuss mailing list discussion
|
|
(https://groups.google.com/forum/#!topic/manylinux-discuss/-4l3rrjfr9U)
|
|
.. [8] distutils-sig discussion
|
|
(https://mail.python.org/pipermail/distutils-sig/2016-January/027997.html)
|
|
.. [9] distutils-sig discussion
|
|
(https://mail.python.org/pipermail/distutils-sig/2016-February/028275.html)
|
|
.. [10] github issue discussion
|
|
(https://github.com/pypa/manylinux/issues/30)
|
|
.. [11] python bug tracker discussion
|
|
(https://bugs.python.org/issue21536)
|
|
.. [12] manylinux1 docker images
|
|
(Source: https://github.com/pypa/manylinux;
|
|
x86-64: https://quay.io/repository/pypa/manylinux1_x86_64;
|
|
x86-32: https://quay.io/repository/pypa/manylinux1_i686)
|
|
.. [13] auditwheel tool
|
|
(https://pypi.python.org/pypi/auditwheel)
|
|
.. [14] Fedora Bundled Software Policy
|
|
(https://fedoraproject.org/wiki/Bundled_Software_policy)
|
|
.. [15] Debian Policy Manual -- 4.13: Convenience copies of code
|
|
(https://www.debian.org/doc/debian-policy/ch-source.html#s-embeddedfiles)
|
|
.. [16] numpy bug report:
|
|
https://github.com/numpy/numpy/issues/8415#issuecomment-269095235
|
|
|
|
|
|
Copyright
|
|
=========
|
|
|
|
This document has been placed into the public domain.
|
|
|
|
..
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Local Variables:
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mode: indented-text
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indent-tabs-mode: nil
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coding: utf-8
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End:
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