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Add support for simultaneous interactive and inline matplotlib plots....
Add support for simultaneous interactive and inline matplotlib plots. In purely svg mode, there is now no lag with draw() operations, they just produce the figure immediately. And in gui mode, a new function, 'paste', is added to plt and to the user's namespace, that pastes open figures from GUI windows into the editing widget as inline SVGs.

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r2987:94057a1f
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sysinfo.py
100 lines | 3.3 KiB | text/x-python | PythonLexer
# encoding: utf-8
"""
Utilities for getting information about a system.
"""
#-----------------------------------------------------------------------------
# Copyright (C) 2008-2009 The IPython Development Team
#
# Distributed under the terms of the BSD License. The full license is in
# the file COPYING, distributed as part of this software.
#-----------------------------------------------------------------------------
#-----------------------------------------------------------------------------
# Imports
#-----------------------------------------------------------------------------
import os
import platform
import sys
import subprocess
from IPython.core import release
#-----------------------------------------------------------------------------
# Code
#-----------------------------------------------------------------------------
def sys_info():
"""Return useful information about IPython and the system, as a string.
Examples
--------
In [1]: print(sys_info())
IPython version: 0.11.bzr.r1340 # random
BZR revision : 1340
Platform info : os.name -> posix, sys.platform -> linux2
: Linux-2.6.31-17-generic-i686-with-Ubuntu-9.10-karmic
Python info : 2.6.4 (r264:75706, Dec 7 2009, 18:45:15)
[GCC 4.4.1]
"""
out = []
out.append('IPython version: %s' % release.version)
out.append('BZR revision : %s' % release.revision)
out.append('Platform info : os.name -> %s, sys.platform -> %s' %
(os.name,sys.platform) )
out.append(' : %s' % platform.platform())
out.append('Python info : %s' % sys.version)
out.append('') # ensure closing newline
return '\n'.join(out)
def _num_cpus_unix():
"""Return the number of active CPUs on a Unix system."""
return os.sysconf("SC_NPROCESSORS_ONLN")
def _num_cpus_darwin():
"""Return the number of active CPUs on a Darwin system."""
p = subprocess.Popen(['sysctl','-n','hw.ncpu'],stdout=subprocess.PIPE)
return p.stdout.read()
def _num_cpus_windows():
"""Return the number of active CPUs on a Windows system."""
return os.environ.get("NUMBER_OF_PROCESSORS")
def num_cpus():
"""Return the effective number of CPUs in the system as an integer.
This cross-platform function makes an attempt at finding the total number of
available CPUs in the system, as returned by various underlying system and
python calls.
If it can't find a sensible answer, it returns 1 (though an error *may* make
it return a large positive number that's actually incorrect).
"""
# Many thanks to the Parallel Python project (http://www.parallelpython.com)
# for the names of the keys we needed to look up for this function. This
# code was inspired by their equivalent function.
ncpufuncs = {'Linux':_num_cpus_unix,
'Darwin':_num_cpus_darwin,
'Windows':_num_cpus_windows,
# On Vista, python < 2.5.2 has a bug and returns 'Microsoft'
# See http://bugs.python.org/issue1082 for details.
'Microsoft':_num_cpus_windows,
}
ncpufunc = ncpufuncs.get(platform.system(),
# default to unix version (Solaris, AIX, etc)
_num_cpus_unix)
try:
ncpus = max(1,int(ncpufunc()))
except:
ncpus = 1
return ncpus