##// END OF EJS Templates
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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ipy_app_completers.py
19 lines | 583 B | text/x-python | PythonLexer
""" Install various IPython completers
IPython extension that installs the completers related to external apps.
The actual implementations are in extensions/ipy_completers.py
"""
from IPython.core import ipapi
ip = ipapi.get()
from ipy_completers import *
ip.set_hook('complete_command', apt_completer, re_key = '.*apt-get')
ip.set_hook('complete_command', svn_completer, str_key = 'svn')
ip.set_hook('complete_command', hg_completer, str_key = 'hg')
# the old bzr completer is deprecated, we recommend ipy_bzr
#ip.set_hook('complete_command', bzr_completer, str_key = 'bzr')