numpy-discussion — Discussion list for all users of Numerical Python

Re: [Numpy-discussion] Any Numeric or numarray users on this list?

[Andrew M. <an...@ob...>]

We use Numeric in NetEpi Analysis (www.netepi.org).

>Please help the developers by responding to a few questions.
>
>1) Have you transitioned or started to transition to NumPy (i.e. import 
>numpy)?

No.

>2) Will you transition within the next 6 months? (if you answered No to #1)

Unknown - someone will have to fund the work.

>3) Please, explain your reason(s) for not making the switch. (if you 
>answered No to #2)

NetEpi Analysis implements C extensions to do fast set options on integer
Numeric arrays, as well as to support mmap'ed Numeric arrays. I haven't
looked at what is required to port these to Numpy (or replace with native
Numpy features).

NetEpi Analysis also uses rpy, which will potentially need to be updated
to support Numpy.

We're also concerned about speed - but I haven't done any testing
against the latest Numpy.

-- 
Andrew McNamara, Senior Developer, Object Craft
http://www.object-craft.com.au/

Re: [Numpy-discussion] Any Numeric or numarray users on this list?

[Sasha <nd...@ma...>]

I am a Numeric user.

On 5/30/06, Travis Oliphant <oli...@ie...> wrote:
>
> Please help the developers by responding to a few questions.
>
>
>
> 1) Have you transitioned or started to transition to NumPy (i.e. import
> numpy)?
>
Started transition.  Most applications were easily ported to Numpy.  I
am still deciding whether or not support both Numpy and Numeric during
the transition period.

>
> 2) Will you transition within the next 6 months? (if you answered No to #1)
>

Yes, as soon as numpy 1.0 is released.

> 4) Please provide any suggestions for improving NumPy.
>
That's a big topic!  Without expanding on anything:

- optimized array of interned strings (compatible with char** at the C level)
- optimized array of arrays (a restriction of dtype=object array)
- use BLAS in umath

Re: [Numpy-discussion] Any Numeric or numarray users on this list?

[Bill B. <wb...@gm...>]

pyOpenGL is one project that hasn't upgraded to numpy yet.

http://pyopengl.sourceforge.net/

I think the issue is just that noone is really maintaining it, rather than
any difficulty in porting to numpy.  Since he's probably not reading this
list, might be a good idea to send  the project admin a copy of the survey:
mcfletch at users.sourceforge.net

--bb

On 5/31/06, Travis Oliphant <oli...@ie...> wrote:
>
>
> Please help the developers by responding to a few questions.
>
>
>
> 1) Have you transitioned or started to transition to NumPy (i.e. import
> numpy)?
>
>
>
>
> 2) Will you transition within the next 6 months? (if you answered No to
> #1)
>
>
>
>
> 3) Please, explain your reason(s) for not making the switch. (if you
> answered No to #2)
>
>
>
>
>
> 4) Please provide any suggestions for improving NumPy.
>
>
>
>
>
> Thanks for your answers.
>
>
> NumPy Developers
>
>
>
>
> -------------------------------------------------------
> All the advantages of Linux Managed Hosting--Without the Cost and Risk!
> Fully trained technicians. The highest number of Red Hat certifications in
> the hosting industry. Fanatical Support. Click to learn more
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> _______________________________________________
> Numpy-discussion mailing list
> Num...@li...
> https://lists.sourceforge.net/lists/listinfo/numpy-discussion
>



-- 
William V. Baxter III
OLM Digital
Kono Dens Building Rm 302
1-8-8 Wakabayashi Setagaya-ku
Tokyo, Japan  154-0023
+81 (3) 3422-3380

[Numpy-discussion] cx_freezing numpy problem.

[Mike R. <mr...@ca...>]

Hi,

I'm trying to package numpy based application but get following TB:

No scipy-style subpackage 'core' found in 
/home/mrovner/dev/psgapp/src/gui/lnx32/dvip/numpy. Ignoring: No module 
named _internal
Traceback (most recent call last):
   File "/home/mrovner/src/cx_Freeze-3.0.2/initscripts/Console.py", line 
26, in ?
     exec code in m.__dict__
   File "dvip.py", line 42, in ?
   File "dvip.py", line 31, in dvip_gui
   File "mainui.py", line 1, in ?
   File "psgdb.pyx", line 162, in psgdb
   File 
"/lan/dfm/grp_mm_data1/dev/tools/linux-x86_32/lib/python2.4/site-packages/numpy/__init__.py", 
line 35, in ?
     verbose=NUMPY_IMPORT_VERBOSE,postpone=False)
   File 
"/lan/dfm/grp_mm_data1/dev/tools/linux-x86_32/lib/python2.4/site-packages/numpy/_import_tools.py", 
line 173, in __call__
     self._init_info_modules(packages or None)
   File 
"/lan/dfm/grp_mm_data1/dev/tools/linux-x86_32/lib/python2.4/site-packages/numpy/_import_tools.py", 
line 68, in _init_info_modules
     exec 'import %s.info as info' % (package_name)
   File "<string>", line 1, in ?
   File 
"/lan/dfm/grp_mm_data1/dev/tools/linux-x86_32/lib/python2.4/site-packages/numpy/lib/__init__.py", 
line 5, in ?
     from type_check import *
   File 
"/lan/dfm/grp_mm_data1/dev/tools/linux-x86_32/lib/python2.4/site-packages/numpy/lib/type_check.py", 
line 8, in ?
     import numpy.core.numeric as _nx
   File 
"/lan/dfm/grp_mm_data1/dev/tools/linux-x86_32/lib/python2.4/site-packages/numpy/core/__init__.py", 
line 6, in ?
     import umath
   File "ExtensionLoader.py", line 12, in ?
AttributeError: 'module' object has no attribute '_ARRAY_API'

I did freezing with:
FreezePython --install-dir=lnx32 --include-modules=numpy 
--include-modules=numpy.core dvip.py

I'm using Python-2.4.2 numpy-0.9.8 cx_Freeze-3.0.2 on linux. Everything 
compiled from source.

Any help appreciated.

Thanks,
Mike

[Numpy-discussion] Any Numeric or numarray users on this list?

[Travis O. <oli...@ie...>]

Please help the developers by responding to a few questions.



1) Have you transitioned or started to transition to NumPy (i.e. import 
numpy)?




2) Will you transition within the next 6 months? (if you answered No to #1)




3) Please, explain your reason(s) for not making the switch. (if you 
answered No to #2)





4) Please provide any suggestions for improving NumPy.





Thanks for your answers.


NumPy Developers

Re: [Numpy-discussion] arrays that start from negative numbers?

[Rick M. <rm...@sa...>]

I certainly think that something along these lines would be possible.  
However, in the end I just decided to keep track of the indices using  
a Python dictionary, which means to access A[-3] I actually have to  
call A[index[-3]]. A little clunkier, but I was worried that the  
other solutions would be brittle in the long run.

Thanks for all of the comments.

On May 30, 2006, at 2:04 PM, David Huard wrote:

> Just a thought:
> would it be possible to overload the array __getitem__ method ?
>
> I can do it with lists, but not with arrays...
>
> For instance,
>
> class fortarray(list):
>     def __getitem__(self, index):
>         return list.__getitem__(self, index+5)
>
> and
> >>> l = fortarray()
> >>> l.append(1)
> >>> l[-5]
> 1
>
> There is certainly a more elegant way to define the class with the  
> starting index as an argument, but I didn't look into it. For  
> arrays, this doesn't work out of the box, but I'd surprised if  
> there was no way to tweak it to do the same.
>
> Good luck
> David
>
> 2006/5/30, Rick Muller <rm...@sa...>:
> Indeed I am. Thanks for the reply
> On May 30, 2006, at 11:32 AM, Rob Hetland wrote:
>
> >
> > I believe Rick is talking about negative indices (possible in
> > FORTRAN), in which case the answer is no.
> >
> > -Rob
> >
> > On May 30, 2006, at 11:28 AM, Rick Muller wrote:
> >
> >> Is it possible to create arrays that run from, say -5:5, rather
> >> than 0:11? Analogous to the Fortran "allocate(A(-5:5))" command?
> >> I'm translating a F90 code to Python, and it would be easier to do
> >> this than to use a python dictionary.
> >
> > -----
> > Rob Hetland, Assistant Professor
> > Dept of Oceanography, Texas A&M University
> > p: 979-458-0096, f: 979-845-6331
> > e: he...@ta..., w: http://pong.tamu.edu
> >
> >
>
> Rick Muller
> rm...@sa...
>
>
>
>
>
>
> -------------------------------------------------------
> All the advantages of Linux Managed Hosting--Without the Cost and  
> Risk!
> Fully trained technicians. The highest number of Red Hat  
> certifications in
> the hosting industry. Fanatical Support. Click to learn more
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> cmd=lnk&kid=107521&bid=248729&dat=121642
> _______________________________________________
> Numpy-discussion mailing list
> Num...@li...
> https://lists.sourceforge.net/lists/listinfo/numpy-discussion
>

Rick Muller
rm...@sa...

[Numpy-discussion] Re: arrays that start from negative numbers?

[Robert K. <rob...@gm...>]

David Huard wrote:
> Just a thought:
> would it be possible to overload the array __getitem__ method ?
> 
> I can do it with lists, but not with arrays...
> 
> For instance,
> 
> class fortarray(list):
>     def __getitem__(self, index):
>         return list.__getitem__(self, index+5)
> 
> and
>>>> l = fortarray()
>>>> l.append(1)
>>>> l[-5]
> 1
> 
> There is certainly a more elegant way to define the class with the
> starting index as an argument, but I didn't look into it. For arrays,
> this doesn't work out of the box, but I'd surprised if there was no way
> to tweak it to do the same.

One certainly could write a subclass of array that handles arbitrarily-based
indices. On the other hand, writing a correct and consistent implementation
would be very tricky. On the gripping hand, a quick hack might suffice if one
only needed to use it locally, like inside a single function, and convert to and
from real arrays at the boundaries.

-- 
Robert Kern

"I have come to believe that the whole world is an enigma, a harmless enigma
 that is made terrible by our own mad attempt to interpret it as though it had
 an underlying truth."
  -- Umberto Eco

Re: [Numpy-discussion] arrays that start from negative numbers?

[David H. <dav...@gm...>]

Just a thought:
would it be possible to overload the array __getitem__ method ?

I can do it with lists, but not with arrays...

For instance,

class fortarray(list):
    def __getitem__(self, index):
        return list.__getitem__(self, index+5)

and
>>> l = fortarray()
>>> l.append(1)
>>> l[-5]
1

There is certainly a more elegant way to define the class with the starting
index as an argument, but I didn't look into it. For arrays, this doesn't
work out of the box, but I'd surprised if there was no way to tweak it to do
the same.

Good luck
David

2006/5/30, Rick Muller <rm...@sa...>:
>
> Indeed I am. Thanks for the reply
> On May 30, 2006, at 11:32 AM, Rob Hetland wrote:
>
> >
> > I believe Rick is talking about negative indices (possible in
> > FORTRAN), in which case the answer is no.
> >
> > -Rob
> >
> > On May 30, 2006, at 11:28 AM, Rick Muller wrote:
> >
> >> Is it possible to create arrays that run from, say -5:5, rather
> >> than 0:11? Analogous to the Fortran "allocate(A(-5:5))" command?
> >> I'm translating a F90 code to Python, and it would be easier to do
> >> this than to use a python dictionary.
> >
> > -----
> > Rob Hetland, Assistant Professor
> > Dept of Oceanography, Texas A&M University
> > p: 979-458-0096, f: 979-845-6331
> > e: he...@ta..., w: http://pong.tamu.edu
> >
> >
>
> Rick Muller
> rm...@sa...
>
>
>
>
>
>
> -------------------------------------------------------
> All the advantages of Linux Managed Hosting--Without the Cost and Risk!
> Fully trained technicians. The highest number of Red Hat certifications in
> the hosting industry. Fanatical Support. Click to learn more
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> _______________________________________________
> Numpy-discussion mailing list
> Num...@li...
> https://lists.sourceforge.net/lists/listinfo/numpy-discussion
>

Re: [Numpy-discussion] arrays that start from negative numbers?

[Rick M. <rm...@sa...>]

Indeed I am. Thanks for the reply
On May 30, 2006, at 11:32 AM, Rob Hetland wrote:

>
> I believe Rick is talking about negative indices (possible in  
> FORTRAN), in which case the answer is no.
>
> -Rob
>
> On May 30, 2006, at 11:28 AM, Rick Muller wrote:
>
>> Is it possible to create arrays that run from, say -5:5, rather  
>> than 0:11? Analogous to the Fortran "allocate(A(-5:5))" command?  
>> I'm translating a F90 code to Python, and it would be easier to do  
>> this than to use a python dictionary.
>
> -----
> Rob Hetland, Assistant Professor
> Dept of Oceanography, Texas A&M University
> p: 979-458-0096, f: 979-845-6331
> e: he...@ta..., w: http://pong.tamu.edu
>
>

Rick Muller
rm...@sa...

Re: [Numpy-discussion] arrays that start from negative numbers?

[Rob H. <he...@ta...>]

Yes, brilliant.  The answer is yes, but you need to modify the array  
to have it make sense; you need to fold the array over, so that the  
'negative' indices reference data from the rear of the array....  I  
was thinking about having the first negative index first...  I'm  
still not sure if this will be 'skating on dull blades with sharp  
knives' in converting fortran to numpy.

More generally to the problem of code conversion, I think that a  
direct fortran -> numpy translation is not the best thing -- the  
numpy code should be vectorized.  The array indexing problems will  
(mostly) go away when the fortran code is vectorized, and will result  
in much faster python code in the end as well.

-r

On May 30, 2006, at 12:42 PM, Alan Isaac wrote:

>> On May 30, 2006, at 11:28 AM, Rick Muller wrote:
>>> Is it possible to create arrays that run from, say -5:5, rather
>>> than 0:11? Analogous to the Fortran "allocate(A(-5:5))" command?
>>> I'm translating a F90 code to Python, and it would be easier to do
>>> this than to use a python dictionary.
>
>
> On Tue, 30 May 2006, Rob Hetland wrote:
>> I believe Rick is talking about negative indices (possible in
>> FORTRAN), in which case the answer is no.
>
>
>
> I see.
> Perhaps this is still relevant?
> (Or perhaps not.)
>
>>>> y=N.arange(11)
>>>> x=range(-5,6)
>>>> y[x]
> array([ 6,  7,  8,  9, 10,  0,  1,  2,  3,  4,  5])
>>>>
>
> hth,
> Alan Isaac
>
>
>
>
>
>
> -------------------------------------------------------
> All the advantages of Linux Managed Hosting--Without the Cost and  
> Risk!
> Fully trained technicians. The highest number of Red Hat  
> certifications in
> the hosting industry. Fanatical Support. Click to learn more
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> cmd=lnk&kid=107521&bid=248729&dat=121642
> _______________________________________________
> Numpy-discussion mailing list
> Num...@li...
> https://lists.sourceforge.net/lists/listinfo/numpy-discussion

-----
Rob Hetland, Assistant Professor
Dept of Oceanography, Texas A&M University
p: 979-458-0096, f: 979-845-6331
e: he...@ta..., w: http://pong.tamu.edu

Re: [Numpy-discussion] arrays that start from negative numbers?

[Alan I. <ai...@am...>]

> On May 30, 2006, at 11:28 AM, Rick Muller wrote: 
>> Is it possible to create arrays that run from, say -5:5, rather 
>> than 0:11? Analogous to the Fortran "allocate(A(-5:5))" command? 
>> I'm translating a F90 code to Python, and it would be easier to do 
>> this than to use a python dictionary. 


On Tue, 30 May 2006, Rob Hetland wrote: 
> I believe Rick is talking about negative indices (possible in 
> FORTRAN), in which case the answer is no. 



I see.
Perhaps this is still relevant?
(Or perhaps not.)

>>> y=N.arange(11)
>>> x=range(-5,6)
>>> y[x]
array([ 6,  7,  8,  9, 10,  0,  1,  2,  3,  4,  5])
>>>

hth,
Alan Isaac

Re: [Numpy-discussion] arrays that start from negative numbers?

[Rob H. <he...@ta...>]

I believe Rick is talking about negative indices (possible in  
FORTRAN), in which case the answer is no.

-Rob

On May 30, 2006, at 11:28 AM, Rick Muller wrote:

> Is it possible to create arrays that run from, say -5:5, rather  
> than 0:11? Analogous to the Fortran "allocate(A(-5:5))" command?  
> I'm translating a F90 code to Python, and it would be easier to do  
> this than to use a python dictionary.

-----
Rob Hetland, Assistant Professor
Dept of Oceanography, Texas A&M University
p: 979-458-0096, f: 979-845-6331
e: he...@ta..., w: http://pong.tamu.edu

Re: [Numpy-discussion] arrays that start from negative numbers?

[Alan I. <ai...@am...>]

On Tue, 30 May 2006, Rick Muller wrote: 
> Is it possible to create arrays that run from, say -5:5, rather than 
> 0:11?

Python 2.4.1 (#65, Mar 30 2005, 09:13:57) [MSC v.1310 32 bit 
(Intel)] on win32
Type "help", "copyright", "credits" or "license" for more information.
>>> import numpy as N
>>> x = N.arange(-5,6)
>>> x
array([-5, -4, -3, -2, -1,  0,  1,  2,  3,  4,  5])
>>> y=N.arange(11)
>>> y-5
array([-5, -4, -3, -2, -1,  0,  1,  2,  3,  4,  5])


hth,
Alan Isaac

[Numpy-discussion] Re: 24bit arrays

[Ray S. <ra...@bl...>]

>Is there some clever way to achieve the same goal for 24bit data without
>copying  everything into a new 32-bit array?

I agree with the other post, Int8 x 3 can be used with slices to get a lot done, depending on data tasks desired, but not all

>The typical 24bit audio file contains two interleaved channels, i.e.
>frames of 3bytes+3bytes, so it can be cast to (nframes,3) Int32, or
>(nframes,2,3) Int8 array, but this is hardly a useful representation for
>audio data.

Along these liners, I have been working with 24 bit ADC  data returned from pyUSB as tuples, which I need to convert to Float32 and save, like this:
WRAP = 2.**23
BITS24 = 2.**24

            try:
                chValue = struct.unpack(">I", 
                                  struct.pack(">4b", 0,*dataTuple[byteN:byteN+3])
                                )[0]
            except:
                chValue = 0
            if chValue>WRAP:
                chValue = ((BITS24-chValue) / WRAP) * gainFactors[thisCh]
            else:
                chValue = (-chValue / WRAP) * gainFactors[thisCh]
            data[thisCh].append(chValue)

which is really slow (no real time is possible).
Is there a much faster way evident to others here? 
We are going to do a pyd in C otherwise...

Ray

[Numpy-discussion] arrays that start from negative numbers?

[Rick M. <rm...@sa...>]

Is it possible to create arrays that run from, say -5:5, rather than  
0:11? Analogous to the Fortran "allocate(A(-5:5))" command? I'm  
translating a F90 code to Python, and it would be easier to do this  
than to use a python dictionary.

Thanks in advance.

Rick Muller
rm...@sa...

[Numpy-discussion] {Info} st ock speculation for

[rxctaeg o. <yha...@bo...>]

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[Numpy-discussion] when does numpy create temporaries ?

[Simon B. <si...@ar...>]

Consider these two operations:

>>> a=numpy.empty( 1024 )
>>> b=numpy.empty( 1024 )
>>> a[1:] = b[:-1]
>>> a[1:] = a[:-1]
>>>

It seems that in the second operation
we need to copy the view a[:-1]
but in the first operation we don't need
to copy b[:-1].

How does numpy detect this, or does it
always copy the source when assigning to a slice ?

I've poked around the (numpy) code a bit and
tried some benchmarks, but it's still not so
clear to me.

Simon.


-- 
Simon Burton, B.Sc.
Licensed PO Box 8066
ANU Canberra 2601
Australia
Ph. 61 02 6249 6940
http://arrowtheory.com 

[Numpy-discussion] ...never mind, found everything

[Paul D. <pfd...@gm...>]

Please disregard my previous posting about my special issue correspondence.
All is well. Gmail and my twitching don't work well together. I need a
computer that ignores me.

[Numpy-discussion] Special issue of CiSE on Python -- Correspondents please reply

[Paul D. <pfd...@gm...>]

In April I sent out a request for proposals for a special issue of Computin=
g
in Science and Engineering on Python's use in science and engineering. Due
to being somewhat inexperienced with a new mailer, I lost some of the
correspondence. Would those with whom I corresponded send me back something
about what we were talking about? I know some additional people had gotten
dragged into the conversation.

I did not lose letters from:

Jarrod Millman
Kent-Andre Mardal
Xuan Shi
Ryan Krauss

I have the word doc only from Peter Bienstman.
I have the text outline only from Arnd Baecker

Sorry to be so clumsy.

Paul Dubois

Re: [Numpy-discussion] 24bit arrays

[Simon B. <si...@ar...>]

On Mon, 29 May 2006 14:00:34 +0200
"Maxim Krikun" <max...@gm...> wrote:

> 
> The typical 24bit audio file contains two interleaved channels, i.e.
> frames of 3bytes+3bytes, so it can be cast to (nframes,3) Int32, or
> (nframes,2,3) Int8 array, but this is hardly a useful representation for
> audio data.

Why not ? It's good for slicing and dicing, anything else and
you should convert it to float before operating on it.

Simon.

-- 
Simon Burton, B.Sc.
Licensed PO Box 8066
ANU Canberra 2601
Australia
Ph. 61 02 6249 6940
http://arrowtheory.com 

[Numpy-discussion] [fwd] here's a winer

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[Numpy-discussion] 24bit arrays

[Maxim K. <max...@gm...>]

Hi all.

I'm writing a tool to access uncompressed audio files (currently in
wave, aiff and wave64 formats) using numarray.memmap module -- it maps
the whole file to memory, then finds the waveform data region and casts
it to and array of appropriate type and shape.

This works pretty well for both 16-bit integer and 32-bit float data,
but not for 24-bit files, since there is no Int24 data type in numarray.

Is there some clever way to achieve the same goal for 24bit data without
copying  everything into a new 32-bit array?

The typical 24bit audio file contains two interleaved channels, i.e.
frames of 3bytes+3bytes, so it can be cast to (nframes,3) Int32, or
(nframes,2,3) Int8 array, but this is hardly a useful representation for
audio data.

--Maxim

Re: [Numpy-discussion] Re: dtype: hashing and cmp

[Travis O. <oli...@ie...>]

Simon Burton wrote:
> On Sun, 28 May 2006 14:36:47 -0600
> Travis Oliphant <oli...@ie...> wrote:
>
>   
>> Simon Burton wrote:
>>     
>>> On Sun, 28 May 2006 14:33:37 -0500
>>> Robert Kern <rob...@gm...> wrote:
>>>
>>>   
>>>       
>>>>> if array.dtype == numpy.Int32: ...
>>>>>       
>>>>>           
>>>> numpy.int32
>>>>     
>>>>         
>>>   
>>> No that doesn't work.
>>>
>>>   
>>>       
>> Yeah, the "canonical" types (e.g. int32, float64, etc) are actually 
>> scalar objects.  The type objects themselves are dtype(int32).  I don't 
>> think they are currently listed anywhere in Python (except there is one 
>> for every canonical scalar object). 
>>     
> ...
>
> Can we promote the numarray names: Int32 etc. to their dtype equivalents ?
>   
Perhaps.  There is the concern that it might break Numeric 
compatibility, though.

-Travis

Re: [Numpy-discussion] Re: dtype: hashing and cmp

[Simon B. <si...@ar...>]

On Sun, 28 May 2006 14:36:47 -0600
Travis Oliphant <oli...@ie...> wrote:

> Simon Burton wrote:
> > On Sun, 28 May 2006 14:33:37 -0500
> > Robert Kern <rob...@gm...> wrote:
> >
> >   
> >>> if array.dtype == numpy.Int32: ...
> >>>       
> >> numpy.int32
> >>     
> >
> >   
> > No that doesn't work.
> >
> >   
> 
> Yeah, the "canonical" types (e.g. int32, float64, etc) are actually 
> scalar objects.  The type objects themselves are dtype(int32).  I don't 
> think they are currently listed anywhere in Python (except there is one 
> for every canonical scalar object). 
...

Can we promote the numarray names: Int32 etc. to their dtype equivalents ?
I don't see why having Int32='l' is any more usefull that Int32=dtype('l'), and
the later works with cmp (and also is more helpful in the interactive interpreter).

Simon.

-- 
Simon Burton, B.Sc.
Licensed PO Box 8066
ANU Canberra 2601
Australia
Ph. 61 02 6249 6940
http://arrowtheory.com 

Re: ***[Possible UCE]*** [Numpy-discussion] fromfile for dtype=Int8

[Travis O. <oli...@ie...>]

Erin Sheldon wrote:
> Hi everyone -
>
> The "fromfile" method isn't working for Int8 in
> ascii mode:
>
> # cat test.dat
> 3
> 4
> 5

The problem is that the internal _scan method for that data-type has not 
been written (it was not just a character code for fscanf).  It should 
not be too hard to write but hasn't been done yet.   Perhaps you can 
file a ticket so we don't lose track of it.

-Travis