Mike Meyer wrote:
>
> Unknown. Python relies on the C alloc/free routines for handling
> memory. del may immediately free() the memory (I don't know), but that
> doesn't mean it gets released to the OS. None of the implementations
> of alloc/free I'm aware of ever give the memory back to the OS.
DJTB <[EMAIL PROTECTED]> writes:
> I'm not a Python memory specialist, but does del immediately release/free
> the memory to the OS? I thought it was impossible to let Python immediately
> release memory.
Unknown. Python relies on the C alloc/free routines for handling
memory. del may immediately
Tim Peters wrote:
>
>>tuple_size = int(splitres[0])+1
>>path_tuple = tuple(splitres[1:tuple_size])
>>conflicts = Set(map(int,splitres[tuple_size:-1]))
>
> Do you really mean to throw away the last value on the line? That is,
> why is the slice here [tuple_size:-1] rather
Robert Brewer wrote:
> DJTB wrote:
>> I'm trying to manually parse a dataset stored in a file. The
>> data should be converted into Python objects.
>>
>
> The first question I would ask is: what are you doing with "result", and
> can the consumption of "result" be done iteratively?
>
>
The pr
DJTB wrote:
> Hi,
>
> I'm trying to manually parse a dataset stored in a file. The data should be
> converted into Python objects.
In addition to what the others have mentioned, this sort of problem is
pretty easy to do with a C coded extension type, if you have (or can
buy/borrow) any C skills
I'm surprised you didn't recommend to use ZODB. Seems like an ideal way
to manage this large amount of data as a collection of Python objects...
--
http://mail.python.org/mailman/listinfo/python-list
DJTB wrote:
> I'm trying to manually parse a dataset stored in a file. The
> data should be converted into Python objects.
>
> Here is an example of a single line of a (small) dataset:
>
> 3 13 17 19 -626177023 -1688330994 -834622062 -409108332
> 297174549 955187488
> 589884464 -1547848504 8573
[DJTB]
> I'm trying to manually parse a dataset stored in a file. The data should be
> converted into Python objects.
>
> Here is an example of a single line of a (small) dataset:
>
> 3 13 17 19 -626177023 -1688330994 -834622062 -409108332 297174549 955187488
> 589884464 -1547848504 857311165 585
