##// END OF EJS Templates
fix dangling `buffer` in IPython.parallel.util...
fix dangling `buffer` in IPython.parallel.util Prevented numpy arrays from being passed as arguments to view.apply. Previously failing test included.

File last commit:

r5390:c82649ea
r6187:df7349da
Show More
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)