mirror of https://github.com/python/cpython
Expand the PEP 353 section; various smaller changes
This commit is contained in:
parent
4dce8e4e69
commit
4d8cd8957a
|
@ -249,10 +249,8 @@ you wanted Python's standard \module{string} module? There's no clean
|
|||
way to ignore \module{pkg.string} and look for the standard module;
|
||||
generally you had to look at the contents of \code{sys.modules}, which
|
||||
is slightly unclean.
|
||||
Holger Krekel's py.std package provides a tidier way to perform
|
||||
imports from the standard library, \code{from py.std import string},
|
||||
% XXX correct attribution?
|
||||
% XXX is that import correct?
|
||||
Holger Krekel's \module{py.std} package provides a tidier way to perform
|
||||
imports from the standard library, \code{import py ; py.std.string.join()},
|
||||
but that package isn't available on all Python installations.
|
||||
|
||||
Reading code which relies on relative imports is also less clear,
|
||||
|
@ -266,7 +264,7 @@ future version of Python.
|
|||
In Python 2.5, you can switch \keyword{import}'s behaviour to
|
||||
absolute imports using a \code{from __future__ import absolute_import}
|
||||
directive. This absolute-import behaviour will become the default in
|
||||
a future version (probably Python 2.6). Once absolute-imports
|
||||
a future version (probably Python 2.7). Once absolute imports
|
||||
are the default, \code{import string} will
|
||||
always find the standard library's version.
|
||||
It's suggested that users should begin using absolute imports as much
|
||||
|
@ -300,10 +298,11 @@ form of the import statement, only the \code{from ... import} form.
|
|||
|
||||
\begin{seealso}
|
||||
|
||||
\seepep{328}{Imports: Multi-Line and Absolute/Relative}{PEP written
|
||||
by Aahz; implemented by XXX.}
|
||||
\seepep{328}{Imports: Multi-Line and Absolute/Relative}
|
||||
{PEP written by Aahz; implemented by Thomas Wouters.}
|
||||
|
||||
%\seeurl{http://codespeak.net/py/current/doc/misc.html\#mapping-the-standard-python-library-into-py}{py.std}
|
||||
\seeurl{http://codespeak.net/py/current/doc/index.html}
|
||||
{The py library by Holger Krekel, which contains the \module{py.std} package.}
|
||||
|
||||
\end{seealso}
|
||||
|
||||
|
@ -701,21 +700,67 @@ Brett Cannon and Guido van Rossum; implemented by Brett Cannon.}
|
|||
|
||||
|
||||
%======================================================================
|
||||
\section{PEP 353: Using ssize_t as the index type}
|
||||
\section{PEP 353: Using ssize_t as the index type\label{section-353}}
|
||||
|
||||
A wide-ranging change to Python's C API, using a new
|
||||
\ctype{Py_ssize_t} type definition instead of \ctype{int},
|
||||
will permit the interpreter to handle more data on 64-bit platforms.
|
||||
This change doesn't affect Python's capacity on 32-bit platforms.
|
||||
|
||||
This section will be expanded in future alpha releases.
|
||||
Various pieces of the Python interpreter used C's \ctype{int} type to
|
||||
store sizes or counts; for example, the number of items in a list or
|
||||
tuple were stored in an \ctype{int}. The C compilers for most 64-bit
|
||||
platforms still define \ctype{int} as a 32-bit type, so that meant
|
||||
that lists could only hold up to \code{2**31 - 1} = 2147483647 items.
|
||||
(There are actually a few different programming models that 64-bit C
|
||||
compilers can use -- see
|
||||
\url{http://www.unix.org/version2/whatsnew/lp64_wp.html} for a
|
||||
discussion -- but the most commonly available model leaves \ctype{int}
|
||||
as 32 bits.)
|
||||
|
||||
A limit of 2147483647 items doesn't really matter on a 32-bit platform
|
||||
because you'll run out of memory before hitting the length limit.
|
||||
Each list item requires space for a pointer, which is 4 bytes, plus
|
||||
space for a \ctype{PyObject} representing the item. 2147483647*4 is
|
||||
already more bytes than a 32-bit address space can contain.
|
||||
|
||||
It's possible to address that much memory on a 64-bit platform,
|
||||
however. The pointers for a list that size would only require 16GiB
|
||||
of space, so it's not unreasonable that Python programmers might
|
||||
construct lists that large. Therefore, the Python interpreter had to
|
||||
be changed to use some type other than \ctype{int}, and this will be a
|
||||
64-bit type on 64-bit platforms. The change will cause
|
||||
incompatibilities on 64-bit machines, so it was deemed worth making
|
||||
the transition now, while the number of 64-bit users is still
|
||||
relatively small. (In 5 or 10 years, we may \emph{all} be on 64-bit
|
||||
machines, and the transition would be more painful then.)
|
||||
|
||||
This change most strongly affects authors of C extension modules.
|
||||
Python strings and container types such as lists and tuples
|
||||
now use \ctype{Py_ssize_t} to store their size.
|
||||
Functions such as \cfunction{PyList_Size()}
|
||||
now return \ctype{Py_ssize_t}. Code in extension modules
|
||||
may therefore need to have some variables changed to
|
||||
\ctype{Py_ssize_t}.
|
||||
|
||||
The \cfunction{PyArg_ParseTuple()} and \cfunction{Py_BuildValue()} functions
|
||||
have a new conversion code, \samp{n}, for \ctype{Py_ssize_t}.
|
||||
\cfunction{PyArg_ParseTuple()}'s \samp{s#} and \samp{t#} still output
|
||||
\ctype{int} by default, but you can define the macro
|
||||
\csimplemacro{PY_SSIZE_T_CLEAN} before including \file{Python.h}
|
||||
to make them return \ctype{Py_ssize_t}.
|
||||
|
||||
\pep{353} has a section on conversion guidelines that
|
||||
extension authors should read to learn about supporting 64-bit
|
||||
platforms.
|
||||
|
||||
\begin{seealso}
|
||||
|
||||
\seepep{353}{}{PEP written and implemented by Martin von L\"owis.}
|
||||
\seepep{353}{Using ssize_t as the index type}{PEP written and implemented by Martin von L\"owis.}
|
||||
|
||||
\end{seealso}
|
||||
|
||||
|
||||
%======================================================================
|
||||
\section{PEP 357: The '__index__' method}
|
||||
|
||||
|
@ -1044,7 +1089,8 @@ A subset of Fredrik Lundh's ElementTree library for processing XML has
|
|||
been added to the standard library as \module{xml.etree}. The
|
||||
vailable modules are
|
||||
\module{ElementTree}, \module{ElementPath}, and
|
||||
\module{ElementInclude} from ElementTree 1.2.6.
|
||||
\module{ElementInclude} from ElementTree 1.2.6.
|
||||
The \module{cElementTree} accelerator module is also included.
|
||||
|
||||
In subsequent alpha releases of Python 2.5, I'll add a brief
|
||||
introduction that will provide a page-long overview of using
|
||||
|
@ -1134,7 +1180,11 @@ Changes to Python's build process and to the C API include:
|
|||
|
||||
\begin{itemize}
|
||||
|
||||
% XXX PEP 353: ssize_t
|
||||
\item The largest change to the C API came from \pep{353},
|
||||
which modifies the interpreter to use a \ctype{Py_ssize_t} type
|
||||
definition instead of \ctype{int}. See the earlier
|
||||
section~ref{section-353} for a discussion of this change.
|
||||
|
||||
\item The design of the bytecode compiler has changed a great deal, to
|
||||
no longer generate bytecode by traversing the parse tree. Instead
|
||||
the parse tree is converted to an abstract syntax tree (or AST), and it is
|
||||
|
@ -1227,6 +1277,6 @@ changes to your code:
|
|||
|
||||
The author would like to thank the following people for offering
|
||||
suggestions, corrections and assistance with various drafts of this
|
||||
article: no one yet.
|
||||
article: Thomas Wouters.
|
||||
|
||||
\end{document}
|
||||
|
|
Loading…
Reference in New Issue