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Add transformers to understand code pasted with >>> or IPython prompts....
Add transformers to understand code pasted with >>> or IPython prompts. Now the following all work out of the box: In [8]: In [6]: for i in range(5): ...: ...: print i, ...: ...: ...: 0 1 2 3 4 In [10]: >>> width = 20 In [11]: >>> height = 5*9 In [12]: >>> width * height Out[12]: 900 And the history is still clean: In [13]: %hist -n [snipped] for i in range(5): print i, get_ipython().magic("hist -n") width = 20 height = 5*9 width * height This will be extremely useful when copy/pasting from interactive tutorials, doctests and examples. Also fixes %doctest_mode: https://bugs.launchpad.net/ipython/+bug/505404

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__init__.py
19 lines | 541 B | text/x-python | PythonLexer
"""
Package for dealing for process execution in a callback environment, in a
portable way.
killable_process.py is a wrapper of subprocess.Popen that allows the
subprocess and its children to be killed in a reliable way, including
under windows.
winprocess.py is required by killable_process.py to kill processes under
windows.
piped_process.py wraps process execution with callbacks to print output,
in a non-blocking way. It can be used to interact with a subprocess in eg
a GUI event loop.
"""
from pipedprocess import PipedProcess