##// END OF EJS Templates
normalize unicode notebook filenames...
normalize unicode notebook filenames used in comparison check for notebook name change. Unless the filenames are normalized, unchanged names may result in false positives for a name change (e.g. OS X uses NFD on the filesystem, so u'\xfc' roundtripped to the filesystem will be u'u\u0308'), which can result in the first save of a notebook after open performing the following actions: 1. save the recently opened notebook 2. `old_name != new_name`, so name change detected 3. delete old_name (which is actually new_name), which ultimately deletes the just-saved notebook In master, this has a symptom of the first checkpoint failing because the first save actually deleted the file, and you can't checkpoint a notebook that doesn't exist. closes #3360

File last commit:

r5390:c82649ea
r10777:9585bda6
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)