##// END OF EJS Templates
Merge pull request #2194 from minrk/clean_nan...
Merge pull request #2194 from minrk/clean_nan Clean nan/inf in json_clean. The floating point values NaN and Infinity are not part of the JSON specification and causes some parsers to throw errors. Since our usage is only for things like the display of function defaults, we can use a basic string representation ('NaN', 'inf', etc) instead.

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codeutil.py
42 lines | 1.6 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) 2008-2011 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 sys
import types, copy_reg
def code_ctor(*args):
return types.CodeType(*args)
def reduce_code(co):
if co.co_freevars or co.co_cellvars:
raise ValueError("Sorry, cannot pickle code objects with closures")
args = [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]
if sys.version_info[0] >= 3:
args.insert(1, co.co_kwonlyargcount)
return code_ctor, tuple(args)
copy_reg.pickle(types.CodeType, reduce_code)