Re: [Pytables-users] `__iter__` state and `itertools.islice` when

2013-07-09 Thread Tony Yu
On Tue, Jul 9, 2013 at 1:58 PM, Anthony Scopatz  wrote:

>
>
>
> On Tue, Jul 9, 2013 at 8:57 AM, Tony Yu  wrote:
>
>>
>>
>>
>> On Tue, Jul 9, 2013 at 12:58 AM, Antonio Valentino <
>> antonio.valent...@tiscali.it> wrote:
>> 
>>
>> Yes, this is a bug IMO.
>>> Thank you for reporting and thank you for the small demonstration script.
>>>
>>> Can you please file a bug report on github [1]?
>>> Please also add info about the PyTables version you used for the test..
>>>
>>>
>> Thanks for you quick reply. Ticket filed here:
>>
>> https://github.com/PyTables/PyTables/issues/267
>>
>
> Thanks Tony,
>
> I have made my comments on the issue, but the short version is that I
> don't think this is a bug, iteration needs a rewrite, and you should use
> iterrows().
>
> Be Well
> Anthony
>
> PS you should upgrade to 3.0 and use the new API :)
>

Hey Anthony,

Thanks for your thorough response and explanation on the ticket. I closed
the ticket, and I'll be using `iterrows` instead of `islice` from now on.
I'll have to wait a bit to upgrade to 3.0, but I'm looking forward to
getting rid of all the camelCase.

Cheers!
-Tony


>
>>
>> Best,
>> -Tony
>>
>>
>
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Re: [Pytables-users] `__iter__` state and `itertools.islice` when

2013-07-09 Thread Anthony Scopatz
On Tue, Jul 9, 2013 at 8:57 AM, Tony Yu  wrote:

>
>
>
> On Tue, Jul 9, 2013 at 12:58 AM, Antonio Valentino <
> antonio.valent...@tiscali.it> wrote:
> 
>
> Yes, this is a bug IMO.
>> Thank you for reporting and thank you for the small demonstration script.
>>
>> Can you please file a bug report on github [1]?
>> Please also add info about the PyTables version you used for the test..
>>
>>
> Thanks for you quick reply. Ticket filed here:
>
> https://github.com/PyTables/PyTables/issues/267
>

Thanks Tony,

I have made my comments on the issue, but the short version is that I don't
think this is a bug, iteration needs a rewrite, and you should use
iterrows().

Be Well
Anthony

PS you should upgrade to 3.0 and use the new API :)



>
> Best,
> -Tony
>
>
>>
>>
>> [1] https://github.com/PyTables/PyTables/issues
>>
>> --
>> Antonio Valentino
>>
>
>
> --
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Re: [Pytables-users] `__iter__` state and `itertools.islice` when

2013-07-09 Thread Tony Yu
On Tue, Jul 9, 2013 at 12:58 AM, Antonio Valentino <
antonio.valent...@tiscali.it> wrote:


> Yes, this is a bug IMO.
> Thank you for reporting and thank you for the small demonstration script.
>
> Can you please file a bug report on github [1]?
> Please also add info about the PyTables version you used for the test..
>
>
Thanks for you quick reply. Ticket filed here:

https://github.com/PyTables/PyTables/issues/267

Best,
-Tony


>
>
> [1] https://github.com/PyTables/PyTables/issues
>
> --
> Antonio Valentino
>
--
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Re: [Pytables-users] `__iter__` state and `itertools.islice` when

2013-07-08 Thread Antonio Valentino
Hi Tony,


Il giorno 09/lug/2013, alle ore 06:38, Tony Yu  ha scritto:

> Hi,
> 
> I ran into a subtle, unexpected issue while using `itertools.islice`. I 
> wanted to pass slices of an array for processing without actually reading the 
> entire array, and I wanted that processing function to know nothing about how 
> I'm taking that slice. To that end, I had a loop that sliced the array using 
> `itertools.islice` and called the function on each slice. Instead of 
> returning the slice I specified, `islice` treated the previous end slice as 
> the starting point to the next slice.
> 
> That description is a bit confusing, but the example below (along with the 
> attached test data) should illustrate the point. Maybe I'm missing something, 
> but the only work around that I found was to set a private flag (e.g. 
> `h5.root.array._init = False`) on each call to `islice` to reset the counter 
> used in `__iter__`.
> 
> I'm not sure if this is expected behavior or not, but it does differ from how 
> `islice` works on numpy arrays (as demonstrated in the example below). I used 
> the google and nothing similar came up, so I thought I'd post here.
> 
> Best,
> -Tony 
> 
> 
> #
> 
> import tables
> import itertools
> import numpy as np
> 
> 
> h5 = tables.openFile('test.h5')
> array = np.arange(100)
> for i in range(5):
> # Numpy array slice always returns 0..10
> print list(itertools.islice(array, 0, 10))
> # PyTables array slice shifts with each iteration
> print list(itertools.islice(h5.root.array, 0, 10))
> h5.close()
> --


Yes, this is a bug IMO.
Thank you for reporting and thank you for the small demonstration script.

Can you please file a bug report on github [1]?
Please also add info about the PyTables version you used for the test..



[1] https://github.com/PyTables/PyTables/issues

--
Antonio Valentino



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