##// 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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codeutil.py
38 lines | 1.5 KiB | text/x-python | PythonLexer
# encoding: utf-8
"""Utilities to enable code objects to be pickled.
Any process that import this module will be able to pickle code objects. This
includes the func_code attribute of any function. Once unpickled, new
functions can be built using new.function(code, globals()). Eventually
we need to automate all of this so that functions themselves can be pickled.
Reference: A. Tremols, P Cogolo, "Python Cookbook," p 302-305
"""
__docformat__ = "restructuredtext en"
#-------------------------------------------------------------------------------
# Copyright (C) 2008 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 new, types, copy_reg
def code_ctor(*args):
return new.code(*args)
def reduce_code(co):
if co.co_freevars or co.co_cellvars:
raise ValueError("Sorry, cannot pickle code objects with closures")
return code_ctor, (co.co_argcount, co.co_nlocals, co.co_stacksize,
co.co_flags, co.co_code, co.co_consts, co.co_names,
co.co_varnames, co.co_filename, co.co_name, co.co_firstlineno,
co.co_lnotab)
copy_reg.pickle(types.CodeType, reduce_code)