On 5/24/13, Peter Cock <p.j.a.c...@googlemail.com> wrote:
> On Fri, May 24, 2013 at 2:47 PM, Warren Weckesser
> <warren.weckes...@gmail.com> wrote:
>>
>>Peter wrote:
>>> -------------------------------------------
>>> Successes
>>> -------------------------------------------
>>>
>>> 64 bit Linux:
>>>
>>> $ python2.6
>>> Python 2.6.6 (r266:84292, Sep 11 2012, 08:34:23)
>>> [GCC 4.4.6 20120305 (Red Hat 4.4.6-4)] on linux2
>>> Type "help", "copyright", "credits" or "license" for more information.
>>>>>> import sys;print("%x" % sys.maxsize, sys.maxsize > 2**32)
>>> ('7fffffffffffffff', True)
>>>>>> import numpy as np
>>>>>> print(np.random.multivariate_normal(mean=np.zeros(2), cov=np.eye(2),
>>>>>> size=1))
>>> [[-0.27469218 -2.12911784]]
>>>>>> print(np.random.multivariate_normal(mean=np.zeros(2), cov=np.eye(2),
>>>>>> size=np.int64(1)))
>>> [[ 0.02609307 0.32485211]]
>>>>>> np.__version__
>>> '1.6.2'
>>>>>> quit()
>>>
>>
>> Peter: wow, that's a lot of tests!
>
> I try to keep a broad range on hand for testing my own code.
>
>> Two more data points:
>> On Ubuntu 12.04, using 64 bit builds of Python 2.7.4 (from Anaconda
>> 1.5.0), and numpy built from source: numpy 1.6.1 gives the error, but
>> 1.6.2 does not.
>>
>> Warren
>
> That's interesting - and matches my only success being with NumPy 1.6.2
>
> This suggests this was broken to up 1.6.1, but fixed in the 1.6.2 branch
> and not the 1.7 branch. Have anyone tried the current master branch?
>
Sorry, I should have repeated my earlier report about 1.7.1. My current summary
(all using 64 bit python 2.7.4 from Anaconda 1.5):
numpy 1.6.1 (built from source) fails.
numpy 1.6.2 (built from source) succeeds.
numpy 1.7.1 (Anaconda package) succeeds.
Warren
> Peter
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