That might be it. Here's the output:

In [1]: import numexpr

In [2]: print numexpr.use_vml
True

In [3]: print numexpr.get_vml_version()


*** libmkl_mc.dylib *** failed with error : dlopen(libmkl_mc.dylib, 1): image 
not found
*** libmkl_mc.dylib *** failed with error : dlopen(libmkl_mc.dylib, 1): image 
not found
MKL FATAL ERROR: Cannot load neither libmkl_mc.dylib nor libmkl_mc.dylib


Should I reinstall numexpr then?

On Oct 13, 2011, at 10/13/11 11:26 AM, Anthony Scopatz wrote:

> Ooops I forgot! numexpr also might use mkl....
> 
> Could you run the following code and report back the output?
>  
> import numexpr
> print numexpr.use_vml
> print numexpr.get_vml_version()
> 
> I bet numexpr was compiled expecting MKL, but since you don't have it, it 
> fails.  Thanks!
> 
> On Thu, Oct 13, 2011 at 1:55 PM, Ranjit Chacko <rjcha...@gmail.com> wrote:
> I don't remember how I installed it now actually. Is there a way for me to 
> check whether numpy is linked against MKL? I'm not sure how it could be 
> though, since I don't have the MKL framework on my computer at all. 
> 
> On Oct 13, 2011, at 10/13/11 10:28 AM, Anthony Scopatz wrote:
> 
>> Hmmm, is this also how how are you getting numpy?
>> 
>> It may be the case that if your numpy is linked against MKL, that then 
>> PyTables also needs to be linled against MKL.  
>> 
>> On Thu, Oct 13, 2011 at 12:00 PM, Ranjit Chacko <rjcha...@gmail.com> wrote:
>> I'm running Snow Leopard. I've tried installing pytables using both 
>> easy_install, and by downloading the source and compiling. I get the same 
>> errors either way.
>> 
>> On Oct 13, 2011, at 10/13/11 7:55 AM, Anthony Scopatz wrote:
>> 
>>> Hmm... How did you install pytables?  What platform are you on?
>>> 
>>> On Thu, Oct 13, 2011 at 10:33 AM, Ranjit Chacko <rjcha...@gmail.com> wrote:
>>> NumPy is working fine, and it passes all of its tests. I'm not sure why 
>>> there's a reference to MKL in the PyTables error though because I don't 
>>> have that installed on my machine. Also I can't find where the HDF5 1.8.5 
>>> headers might be. The only HDF5 libraries I can see on my machine are 1.8.7.
>>> 
>>> Thanks,
>>> 
>>> -Ranjit
>>> 
>>> On Oct 12, 2011, at 10/12/11 9:15 PM, Anthony Scopatz wrote:
>>> 
>>>> Hello Ranjit, 
>>>> 
>>>> Does NumPy Work?  To the best of my knowledge, numpy is the only thing in 
>>>> that stack that might link against the MKL.  How are you getting numpy?
>>>> 
>>>> Be Well
>>>> Anthony
>>>> 
>>>> On Wed, Oct 12, 2011 at 7:51 PM, Ranjit Chacko <rjcha...@gmail.com> wrote:
>>>> I just tried to install pytables, and when I run tables.test() I get the 
>>>> following error:
>>>> 
>>>> -=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=
>>>> PyTables version:  2.3
>>>> HDF5 version:      1.8.5-patch1
>>>> NumPy version:     2.0.0.dev-073bc39
>>>> 
>>>> 
>>>> *** libmkl_mc.dylib *** failed with error : dlopen(libmkl_mc.dylib, 1): 
>>>> image not found
>>>> *** libmkl_mc.dylib *** failed with error : dlopen(libmkl_mc.dylib, 1): 
>>>> image not found
>>>> MKL FATAL ERROR: Cannot load neither libmkl_mc.dylib nor libmkl_mc.dylib
>>>> 
>>>> 
>>>> Also when I try to open a new file I get a warning about the library 
>>>> version being mismatched, and that "Headers are 1.8.5, library is 1.8.7".
>>>> 
>>>> How do I fix this?
>>>> 
>>>> Thanks,
>>>> 
>>>> -Ranjit
>>>> 
>>>> 
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>>> definitive record of customers, application performance, security
>>> threats, fraudulent activity and more. Splunk takes this data and makes
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>>> definitive record of customers, application performance, security
>>> threats, fraudulent activity and more. Splunk takes this data and makes
>>> sense of it. Business sense. IT sense. Common sense.
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>> 
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>> definitive record of customers, application performance, security
>> threats, fraudulent activity and more. Splunk takes this data and makes
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>> definitive record of customers, application performance, security
>> threats, fraudulent activity and more. Splunk takes this data and makes
>> sense of it. Business sense. IT sense. Common sense.
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> 
> ------------------------------------------------------------------------------
> All the data continuously generated in your IT infrastructure contains a
> definitive record of customers, application performance, security
> threats, fraudulent activity and more. Splunk takes this data and makes
> sense of it. Business sense. IT sense. Common sense.
> http://p.sf.net/sfu/splunk-d2d-oct
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> 
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> definitive record of customers, application performance, security
> threats, fraudulent activity and more. Splunk takes this data and makes
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