PyPy - Download and install
Download and install
available. Those builds are not always
as stable as the release, but they contain numerous bugfixes and
performance improvements.
We provide binaries for x86 and ARM Linux, Mac OS/X and Windows for:
the Python2.7 compatible release — PyPy 2.5.1 — ()
the Python3.2.5 compatible release — PyPy3 2.4.0 — ().
the Python2.7 Software Transactional Memory special release — PyPy-STM 2.5.1 (Linux x86-64 only)
(optional)
(optional)
&JIT Compiler& version
These binaries include a Just-in-Time compiler.
They only work on
x86 CPUs that have the
instruction set (most of
them do, nowadays), or on x86-64 CPUs. They also contain
extensions, like .
Linux binaries and common distributions
Linux binaries are dynamically linked, as is usual, and thus might
not be usable due to the sad story of linux binary compatibility.
This means
that Linux binaries are only usable on the distributions written next to
them unless you're ready to hack your system by adding symlinks to the
libraries it tries to open.
In general, we recommend either building from
source or downloading your PyPy from your release vendor.
, , MacPorts,
are known to package PyPy, with various
degrees of being up-to-date.
You may have more luck trying out Squeaky's
Python2.7 compatible PyPy 2.5.1
(see [1] below)
(see [1] below)
(see [1] below)
(see [1] below)
(see [1] below)
(you might need the VS 2008 runtime library
installer .)
See below for more about the sources.
including previous versions.
We also have a
, but please use only if you have troubles accessing the links above
Python 3.2.5 compatible PyPy3 2.4.0
(see [1] below)
(see [1] below)
(see [1] below)
(see [1] below)
(see [1] below)
(you might need the .)
including previous versions.
We also have a
, but please use only if you have troubles accessing the links above
If your CPU is really, really old, it may be a x86-32 without SSE2.
We could at some point make a PyPy with a JIT without SSE2 &ask us
on IRC if you really want to know more& but note that your machine
is probably low-spec enough that running CPython on it is a better
idea in the first place.
[1]: stating it again: the Linux binaries are provided for the
distributions listed here.
If your distribution is not exactly this
one, it won't work, you will probably see: pypy: error while loading shared
libraries: ….
Unless you want to hack a lot, try out the
PyPy-STM 2.5.1
This is a special version of PyPy!
(STM) documentation.
Other versions
The other versions of PyPy are:
The most up-to-date
with a JIT, if the official
release is too old for what you want to do. There are versions for
different libc on this site too.
Sandboxing: A special safe version.
Read the docs about .
(It is also possible to
a version that includes both
sandboxing and the JIT compiler, although as the JIT is relatively
complicated, this reduces a bit the level of confidence we can put in
the result.) Note that the sandboxed binary needs a full pypy checkout
to work. Consult the
for details. (These are old,
PyPy 1.8.)
Installing
All binary versions are packaged in a tar.bz2 or zip file.
uncompressed, they run in-place.
For now you can uncompress them
either somewhere in your home directory or, say, in /opt, and
if you want, put a symlink from somewhere like
/usr/local/bin/pypy to /path/to/pypy-2.5.1/bin/pypy.
not move or copy the executable pypy outside the tree & put
a symlink to it, otherwise it will not find its libraries.
Installing more modules
The recommended way is to install pip, which is the standard package
manager of Python.
It works like it does on CPython.
One practical
difference, though, is that it usually comes pre-packaged for you when
you get CPython from a place like your Linux distribution.
In the case
of PyPy (or CPython if you download it from ),
you need to get it separately, as explained
Installing NumPy
NumPy is an exception to the rule that most packages work without
The &numpy& module needs to be installed from
rather than from the official source.
If you have pip:
pypy -m pip install git+https://bitbucket.org/pypy/numpy.git
Alternatively, the direct way:
git clone https://bitbucket.org/pypy/numpy.git
pypy setup.py install
If you installed to a system directory, you need to also run this once:
sudo pypy -c 'import numpy'
Note that NumPy support is still a work-in-progress, many things do not
work and those that do may not be any faster than NumPy on CPython.
For further instructions see .
Building from source
Get the source code.
The following packages contain the source at
the same revision as the above binaries:
Or you can checkout the current trunk using
(the trunk
usually works and is of course more up-to-date):
hg clone https://bitbucket.org/pypy/pypy
Make sure you installed the dependencies.
See the list .
Enter the goal directory:
cd pypy/pypy/goal
Run the rpython script.
Here are the common combinations
of options (works also with python instead of pypy;
requires Python 2.x or PyPy 2):
pypy ../../rpython/bin/rpython -Ojit targetpypystandalone
# get the JIT version
pypy ../../rpython/bin/rpython -O2 targetpypystandalone
# get the no-jit version
pypy ../../rpython/bin/rpython -O2 --sandbox targetpypystandalone
# get the sandbox version
Enjoy Mandelbrot :-)
It takes on the order of an hour to
finish the translation, and 2.x GB of RAM on a 32-bit system
and 4.x GB on 64-bit systems.
(Do not start a translation on a
machine with insufficient RAM!
It will just swap forever.
notes below in that case.)
If you want to install this PyPy as root, please read the next section.
It is recommended to use PyPy to do translations, instead of using CPython,
because it is twice as fast.
You should just start by downloading an
official release of PyPy (with the JIT).
If you really have to use CPython
then note that we are talking about CPython 2.5-2.7 here, not CPython 3.x.
If RAM usage is a problem (or if you are on Windows, because win32's limit
is 2 GB unless you ), then you can (for now) tweak some parameters
via environment variables and command-line options.
The following command
takes a bit more time, but finishes with only using 3.0 GB of RAM (on
Linux 64- probably not much more than 1.6 GB on 32-bit).
It should be
noted that it is less than with CPython.
PYPY_GC_MAX_DELTA=200MB pypy --jit loop_longevity=300 ../../rpython/bin/rpython -Ojit targetpypystandalone
On Linux, because of asmgcroot, compiling the generated C files
is delicate.
It requires using gcc with no particularly
fancy options.
It does not work e.g. with clang, or if you pass uncommon
options with the CFLAGS environment variable.
If you insist on
passing these options or using clang, then you can compile PyPy with
option instead (for a small performance price in
non-JITted code).
Once PyPy is translated from source the binary package similar to those provided in the section
above could be easily created with package.py script as following:
cd ./pypy/pypy/tool/release/
python package.py --help #for information
python package.py --archive-name pypy-my-own-package-name
It is recommended to use package.py because custom scripts will
invariably become out-of-date.
If you want to write custom scripts
anyway, note an easy-to-miss point: some modules are written with CFFI,
and require some compilation.
If you install PyPy as root without
pre-compiling them, normal users will get permission errors.
This means
you need to run for example pypy -c &import gdbm& during the
installation process (see the exact list in ).
seeing a broken installation of PyPy can also fix it after-the-fact, if
they have sudo rights, by running sudo pypy -c &import gdbm&.
Here are the checksums for each of the downloads
pypy-2.5.1 md5:
b3cc9f8a419f9f89c3fac34b39e92e0a
pypy-2.5.1-linux64.tar.bz2
fed251ebf02917d25dca23
pypy-2.5.1-linux-armel.tar.bz2
7a0f845baec7a6ccfb57a66f0e7980e9
pypy-2.5.1-linux-armhf-raring.tar.bz2
27ad5e2ca3b0abd00be74ee707ef9e53
pypy-2.5.1-linux-armhf-raspbian.tar.bz2
pypy-2.5.1-linux.tar.bz2
c26e06f3de54fdaaafb70
pypy-2.5.1-osx64.tar.bz2
de4da75efe3e3b3504fdc
pypy-2.5.1-src.tar.bz2
3bec40a4bdc
pypy-2.5.1-src.zip
99a77a1ea310d01933e71f
pypy-2.5.1-win32.zip
pypy3-2.4.0 md5:
eadbcae40ccb3
pypy3-2.4.0-linux64.tar.bz2
7ab8f7921d86
pypy3-2.4.0-linux-armel.tar.bz2
ca134b179ef01dc2bb6a30
pypy3-2.4.0-linux-armhf-raring.tar.bz2
b0b81cfa46e970c584bda10feebe1a85
pypy3-2.4.0-linux-armhf-raspbian.tar.bz2
68af7a6cab9c839d1472c
pypy3-2.4.0-linux.tar.bz2
c6cddb1dfa1e2bc6c699c
pypy3-2.4.0-osx64.tar.bz2
abd8b37607db
pypy3-2.4.0-win32.zip
96ba04ee51
pypy3-2.4.0-src.tar.bz2
ce08a9f24b93b8edca26d4d
pypy3-2.4.0-src.zip
pypy-1.8 sandbox md5:
2c9fa277825a
pypy-1.8-sandbox-linux64.tar.bz2
009c970b5fa7a5d108a8d4
pypy-1.8-sandbox-linux.tar.bz2
pypy-2.5.1 sha1:
e598559cdff89b23d8e4
pypy-2.5.1-linux64.tar.bz2
747d75ba64a652b6397b2ccdda227
pypy-2.5.1-linux-armel.tar.bz2
f142697aadc5c7dbeb2f3f851f51a2
pypy-2.5.1-linux-armhf-raring.tar.bz2
110bd34f0a648dc0b4e3bd80d72cef
pypy-2.5.1-linux-armhf-raspbian.tar.bz2
97962ccaa3d7eecff95d71abead59f
pypy-2.5.1-linux.tar.bz2
1daf39a6fafa757c7a96189b21dac4
pypy-2.5.1-osx64.tar.bz2
e642adcfca65
pypy-2.5.1-src.tar.bz2
df0ef936ba0e689e3ed9b91d8e0088
pypy-2.5.1-src.zip
4af985fad28e4eb7dacee65ddf3ebcc
pypy-2.5.1-win32.zip
pypy3-2.4.0 sha1:
7dca3b924cab
pypy3-2.4.0-linux64.tar.bz2
b33e817f032c9f74ec
pypy3-2.4.0-linux-armel.tar.bz2
bb098b72ecc83a0e73c426f364bb6a
pypy3-2.4.0-linux-armhf-raring.tar.bz2
775dc9f8073c4fad7cd220c4b5dd385e7be469e9
pypy3-2.4.0-linux-armhf-raspbian.tar.bz2
ce7a0cbd3ed81a795879f
pypy3-2.4.0-linux.tar.bz2
9f01d8c5e18c8c7d54fc6ab77dbfaf9
pypy3-2.4.0-osx64.tar.bz2
2efca54daa4c5da23ef577dcfb6b8
pypy3-2.4.0-win32.zip
ae6f54eb787c5247e01
pypy3-2.4.0-src.tar.bz2
bd0a91cdda965f42c382bf00f4a2fb
pypy3-2.4.0-src.zip
pypy-1.8 sandbox sha1:
895aaf7bba5787dd30adda5cc0e0e7fc297c0ca7
pypy-1.8-sandbox-linux64.tar.bz2
be94460bed8b5c309b
pypy-1.8-sandbox-linux.tar.bz2魅族Mx3刷机包，Android 4.4.4，稳定版，Flyme OS 3.7.3A For Mx3，流畅顺滑体验。
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Flyme OS 3.0大胆地使用了扁平化风格，搭配卡片式布局和全新的色彩元素，界面更加清新简约。这也是魅族有史以来最疯狂的一次改变，我们相信视觉感受会影响用户的体验，甚至是对于产品、品牌的理解。颠覆视觉风格的同时，Flyme OS 3.0加入了流畅自然的动画效果，以弥补界面切换时产生的视觉撕裂感，这才是过渡动画存在的意义。
Flyme OS 3.0大胆地使用了扁平化风格，搭配卡片式布局和全新的色彩元素，界面更加清新简约。这也是魅族有史以来最疯狂的一次改变，我们相信视觉感受会影响用户的体验，甚至是对于产品、品牌的理解。颠覆视觉风格的同时，Flyme OS 3.0加入了流畅自然的动画效果，以弥补界面切换时产生的视觉撕裂感，这才是过渡动画存在的意义。
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魅族MX3刷机包，Flyme OS 3.1.3 正式版固件 for MX3 联通合约版。
魅族MX3刷机包，Flyme OS 3.3.1 正式版固件 for MX3 国内版。
魅族MX3刷机包，Flyme OS 3.1 正式版固件 for MX3 联通合约版。
魅族MX3刷机包，Flyme OS 3.1 正式版固件 for MX3 国内版。
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CrystalDiskInfo软件介绍
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硬盘里的数据至关重要，因此时常检查硬盘健康状况是有必要的。CrystalDiskInfo硬盘检测工具通过读取S.M.A.R.T了解硬盘健康状况。打开它，您就可以迅速读到本机硬盘的详细信息，包括接口、转速、温度、使用时间等。CrystalDiskInfo还会根据S.M.A.R.T的评分做出评估，当硬盘快要损坏时还会发出警报，支持简体中文，推荐一试。CrystalDiskInfo硬盘检测工具更新日志：
[Dev6] Added ATA8-ACS2 support
[Dev5] Added Font Selection support (Theme > [Alpha] Font)
[Dev4] Improved IE9 support (The strings of main dialog are rendered by DirectWrite!!)
[Dev3] Added "S.M.A.R.T. in English" option and improved Micron's SSD support
[Dev2] Added Micron's SSD support (Health Status, S.M.A.R.T. Attributes)
[Dev1] Added Alert Mail support
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