PEP 364 – Transitioning to the Py3K Standard Library
- Barry Warsaw <barry at python.org>
- Standards Track
PEP 3108 describes the reorganization of the Python standard library for the Python 3.0 release. This PEP describes a mechanism for transitioning from the Python 2.x standard library to the Python 3.0 standard library. This transition will allow and encourage Python programmers to use the new Python 3.0 library names starting with Python 2.6, while maintaining the old names for backward compatibility. In this way, a Python programmer will be able to write forward compatible code without sacrificing interoperability with existing Python programs.
PEP 3108 presents a rationale for Python standard library (stdlib) reorganization. The reader is encouraged to consult that PEP for details about why and how the library will be reorganized. Should PEP 3108 be accepted in part or in whole, then it is advantageous to allow Python programmers to begin the transition to the new stdlib module names in Python 2.x, so that they can write forward compatible code starting with Python 2.6.
Note that PEP 3108 proposes to remove some “silly old stuff”, i.e. modules that are no longer useful or necessary. The PEP you are reading does not address this because there are no forward compatibility issues for modules that are to be removed, except to stop using such modules.
This PEP concerns only the mechanism by which mappings from old stdlib
names to new stdlib names are maintained. Please consult PEP 3108 for
all specific module renaming proposals. Specifically see the section
Modules to Rename for guidelines on the old name to new
name mappings. The few examples in this PEP are given for
illustrative purposes only and should not be used for specific
There are at least 4 use cases explicitly supported by this PEP:
- Simple top-level package name renamings, such as
- Sub-package renamings where the package name may or may not be
renamed, such as
- Extension module renaming, such as
- Third party renaming of any of the above.
Two use cases supported by this PEP include renaming simple top-level
modules, such as
StringIO, as well as modules within packages,
In the former case, PEP 3108 currently recommends
stringio, following PEP 8 recommendations.
In the latter case, the email 4.0 package distributed with Python 2.5
email.mime.text, although it
did so in a one-off, uniquely hackish way inside the email package.
The mechanism described in this PEP is general enough to handle all
module renamings, obviating the need for the Python 2.5 hack (except
for backward compatibility with earlier Python versions).
An additional use case is to support the renaming of C extension
modules. As long as the new name for the C module is importable, it
can be remapped to the new name. E.g.
cStringIO renamed to
Third party package renaming is also supported, via several public interfaces accessible by any Python module.
Remappings are not performed recursively.
Remapping files are called
.mv files; the suffix was chosen to be
evocative of the Unix mv(1) command. An
.mv file is a simple
line-oriented text file. All blank lines and lines that start with a
# are ignored. All other lines must contain two whitespace separated
fields. The first field is the old module name, and the second field
is the new module name. Both module names must be specified using
their full dotted-path names. Here is an example
.mv file from
# Map the various string i/o libraries to their new names StringIO stringio cStringIO cstringio
.mv files can appear anywhere in the file system, and there is a
programmatic interface provided to parse them, and register the
remappings inside them. By default, when Python starts up, all the
.mv files in the
oldlib package are read, and their remappings
are automatically registered. This is where all the module remappings
should be specified for top-level Python 2.x standard library modules.
This section provides the full specification for how module renamings
in Python 2.x are implemented. The central mechanism relies on
various import hooks as described in PEP 302. Specifically
all employed to provide the necessary functionality.
When Python’s import machinery is initialized, the oldlib package is
imported. Inside oldlib there is a class called
This class implements the PEP 302 interface and is automatically
instantiated, with zero arguments. The constructor reads all the
.mv files from the oldlib package directory, automatically
registering all the remappings found in those
.mv files. This is
how the Python 2.x standard library is remapped.
The OldStdlibLoader class should not be instantiated by other Python
modules. Instead, you can access the global OldStdlibLoader instance
sys.stdlib_remapper instance. Use this instance if you want
programmatic access to the remapping machinery.
One important implementation detail: as needed by the PEP 302 API, a
magic string is added to sys.path, and module __path__ attributes in
order to hook in our remapping loader. This magic string is currently
<oldlib> and some changes were necessary to Python’s site.py file
in order to treat all sys.path entries starting with
special. Specifically, no attempt is made to make them absolute file
names (since they aren’t file names at all).
In order for the remapping import hooks to work, the module or package
must be physically located under its new name. This is because the
import hooks catch only modules that are not already imported, and
cannot be imported by Python’s built-in import rules. Thus, if a
module has been moved, say from Lib/StringIO.py to Lib/stringio.py,
and the former’s
.pyc file has been removed, then without the
remapper, this would fail:
Instead, with the remapper, this failing import will be caught, the
old name will be looked up in the registered remappings, and in this
case, the new name
stringio will be found. The remapper then
attempts to import the new name, and if that succeeds, it binds the
resulting module into sys.modules, under both the old and new names.
Thus, the above import will result in entries in sys.modules for
‘StringIO’ and ‘stringio’, and both will point to the exact same
Note that no way to disable the remapping machinery is proposed, short
of moving all the
.mv files away or programmatically removing them
in some custom start up code. In Python 3.0, the remappings will be
eliminated, leaving only the “new” names.
Several methods are added to the
sys.stdlib_remapper object, which
third party packages can use to register their own remappings. Note
however that in all cases, there is one and only one mapping from an
old name to a new name. If two
.mv files contain different
mappings for an old name, or if a programmatic call is made with an
old name that is already remapped, the previous mapping is lost. This
will not affect any already imported modules.
The following methods are available on the
read_mv_file(filename)– Read the given file and register all remappings found in the file.
read_directory_mv_files(dirname, suffix='.mv')– List the given directory, reading all files in that directory that have the matching suffix (
.mvby default). For each parsed file, register all the remappings found in that file.
set_mapping(oldname, newname)– Register a new mapping from an old module name to a new module name. Both must be the full dotted-path name to the module. newname may be
Nonein which case any existing mapping for oldname will be removed (it is not an error if there is no existing mapping).
get_mapping(oldname, default=None)– Return any registered newname for the given oldname. If there is no registered remapping, default is returned.
- Should there be a command line switch and/or environment variable to disable all remappings?
- Should remappings occur recursively?
- Should we automatically parse package directories for .mv files when
the package’s __init__.py is loaded? This would allow packages to
easily include .mv files for their own remappings. Compare what the
email package currently has to do if we place its
.mvfile in the email package instead of in the oldlib package:
# Expose old names import os, sys sys.stdlib_remapper.read_directory_mv_files(os.path.dirname(__file__))
I think we should automatically read a package’s directory for any
.mvfiles it might contain.
A reference implementation, in the form of a patch against the current
(as of this writing) state of the Python 2.6 svn trunk, is available
as SourceForge patch #1675334 . Note that this patch includes a
cstringio, but this is primarily for
illustrative and unit testing purposes. Should the patch be accepted,
we might want to split this change off into other PEP 3108 changes.
- Reference implementation (http://bugs.python.org/issue1675334)
This document has been placed in the public domain.
Last modified: 2022-01-21 11:03:51 GMT