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Commit 759d2187 authored by Matti Picus's avatar Matti Picus
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the sad truth

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source or downloading your PyPy from your release vendor. <a class="reference external" href="http://packages.ubuntu.com/raring/pypy">Ubuntu</a> (<a class="reference external" href="https://launchpad.net/~pypy/+archive/ppa">PPA</a>),
<a class="reference external" href="http://packages.debian.org/sid/pypy">Debian</a>, <a class="reference external" href="https://github.com/mxcl/homebrew/blob/master/Library/Formula/pypy.rb">Homebrew</a>, MacPorts,
<a class="reference external" href="http://fedoraproject.org/wiki/Features/PyPyStack">Fedora</a>, <a class="reference external" href="http://packages.gentoo.org/package/dev-python/pypy">Gentoo</a> and <a class="reference external" href="https://wiki.archlinux.org/index.php/PyPy">Arch</a> are known to package PyPy, with various
degrees of being up-to-date. You may have more chances trying out Squeaky's
degrees of being up-to-date. You may have more luck trying out Squeaky's
<a class="reference external" href="https://github.com/squeaky-pl/portable-pypy">portable Linux binaries</a>.</p>
<ul class="simple">
<li><a class="reference external" href="https://bitbucket.org/pypy/pypy/downloads/pypy-2.3-linux.tar.bz2">Linux x86 binary (32bit, tar.bz2 built on Ubuntu 10.04.4 LTS)</a> (see <tt class="docutils literal">[1]</tt> below)</li>
......@@ -187,6 +187,8 @@
cd numpy
pypy setup.py install
</pre>
<p>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.</p>
</div>
<div class="section" id="building-from-source">
<span id="translate"></span><h1>Building from source</h1>
......@@ -218,7 +220,7 @@
pypy ../../rpython/bin/rpython -O2 --sandbox targetpypystandalone # get the sandbox version
</pre>
</li>
<li><p class="first">Enjoy Mandelbrot <tt class="docutils literal"><span class="pre">:-)</span></tt> It takes on the order of half an hour to
<li><p class="first">Enjoy Mandelbrot <tt class="docutils literal"><span class="pre">:-)</span></tt> 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. See
......
......@@ -254,7 +254,7 @@
pypy ../../rpython/bin/rpython -O2 targetpypystandalone # get the no-jit version
pypy ../../rpython/bin/rpython -O2 --sandbox targetpypystandalone # get the sandbox version
5. Enjoy Mandelbrot ``:-)`` It takes on the order of half an hour to
5. 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. See
......
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