Alexandre Vassalotti alexan...@peadrop.com added the comment:
It is too late for 2.6.6 now that it is released.
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resolution: - wont fix
stage: - committed/rejected
status: open - closed
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Python tracker rep...@bugs.python.org
Mark Dickinson dicki...@gmail.com added the comment:
I think this can be closed. It should no longer be a problem in Python 2.7 or
Python 3.x, and there's a workaround (use protocol 1 or 2) for Python 2.6.
In theory, it *could* still be fixed for Python 2.6.6, but changing the pickle
output
Mark Dickinson dicki...@gmail.com added the comment:
However, here's a patch. I haven't tested it on Windows.
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keywords: +patch
Added file: http://bugs.python.org/file17965/issue6290.patch
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Python tracker rep...@bugs.python.org
Alex James ac.ja...@shaw.ca added the comment:
Your test prints:
'(1p1\nF1.#INF\naF-1.#INF\naF-1.IND\na.'
[inf, -inf, nan]
My installation is Python 2.6.2 as currently distributed.
Specifying protocol 1 or 2 does circumvent the error.
Thank you.
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components: +Documentation,
Changes by Alex James ac.ja...@shaw.ca:
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components: +Library (Lib) -Documentation, Extension Modules, Windows
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Python tracker rep...@bugs.python.org
http://bugs.python.org/issue6290
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Alex James ac.ja...@shaw.ca added the comment:
I have now pinpointed the error to a list of infinities (see attached).
When using pickle.py to read the cPickle'd data we get a different, and
more, informative error:
ValueError: invalid literal for float(): 1.#INF
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Added file:
Alexandre Vassalotti alexan...@peadrop.com added the comment:
Thanks for the test case. I will take a look.
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assignee: georg.brandl - alexandre.vassalotti
components: +Library (Lib) -Documentation, Extension Modules, Windows
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Python tracker
Alexandre Vassalotti alexan...@peadrop.com added the comment:
Could you give me the output of this?
import cPickle
print repr(cPickle.dumps([float('+inf'), float('-inf'), float('nan')]))
print [float('+inf'), float('-inf'), float('nan')]
By the way, are you sure this bug occurs on Python
New submission from Alex James ac.ja...@shaw.ca:
When using cPickle to pickle / unpickle an object instance whose
__dict__ contains a dictionary of NumPy Arrays (on a windows32 system),
some of the array elements have the wrong type raising a ValueError:
could not convert string to float.
On
Alexandre Vassalotti alexan...@peadrop.com added the comment:
Could you provide a test case? The behaviour you are describing sounds
like a bug in cPickle.
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nosy: +alexandre.vassalotti
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Python tracker rep...@bugs.python.org
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