A Sunday 07 December 2008, Brennan Williams escrigué:
> OK so maybe I should
>
> (1) not add some sort of checksum type functionality to my read/write
> methods
>
> these read/write methods simply read/write numpy arrays to a
> binary file which contains one or more numpy arrays (and noth
OK so maybe I should
(1) not add some sort of checksum type functionality to my read/write
methods
these read/write methods simply read/write numpy arrays to a
binary file which contains one or more numpy arrays (and nothing else).
(2) replace my binary files iwith either HDF5 or PyT
A Friday 05 December 2008, Andrew Collette escrigué:
> > Another possibility would be to use HDF5 as a data container. It
> > supports the fletcher32 filter [1] which basically computes a
> > chuksum for evey data chunk written to disk and then always check
> > that the data read satifies the chec
> Another possibility would be to use HDF5 as a data container. It
> supports the fletcher32 filter [1] which basically computes a chuksum
> for evey data chunk written to disk and then always check that the data
> read satifies the checksum kept on-disk. So, if the HDF5 layer doesn't
> comp
A Friday 05 December 2008, Brennan Williams escrigué:
> Robert Kern wrote:
> > On Thu, Dec 4, 2008 at 18:54, Brennan Williams
> >
> > <[EMAIL PROTECTED]> wrote:
> >> Thanks
> >>
> >> [EMAIL PROTECTED] wrote:
> >>> I didn't check what this does behind the scenes, but try this
> >>
> >> import hashli
Robert Kern wrote:
> On Thu, Dec 4, 2008 at 18:54, Brennan Williams
> <[EMAIL PROTECTED]> wrote:
>
>> Thanks
>>
>> [EMAIL PROTECTED] wrote:
>>
>>> I didn't check what this does behind the scenes, but try this
>>>
>>>
>>>
>> import hashlib #standard python library
>> import numpy as n
On Thu, Dec 4, 2008 at 18:54, Brennan Williams
<[EMAIL PROTECTED]> wrote:
> Thanks
>
> [EMAIL PROTECTED] wrote:
>> I didn't check what this does behind the scenes, but try this
>>
>>
> import hashlib #standard python library
> import numpy as np
>> m = hashlib.md5()
>> m.update(np.array(range(100))
Thanks
[EMAIL PROTECTED] wrote:
> I didn't check what this does behind the scenes, but try this
>
>
import hashlib #standard python library
import numpy as np
> m = hashlib.md5()
> m.update(np.array(range(100)))
> m.update(np.array(range(200)))
>
> m2 = hashlib.md5()
> m2.update(np.array(range(
On Thu, Dec 4, 2008 at 6:57 PM, <[EMAIL PROTECTED]> wrote:
> I didn't check what this does behind the scenes, but try this
>
I forgot to paste:
import hashlib #standard python library
Josef
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I didn't check what this does behind the scenes, but try this
m = hashlib.md5()
m.update(np.array(range(100)))
m.update(np.array(range(200)))
m2 = hashlib.md5()
m2.update(np.array(range(100)))
m2.update(np.array(range(200)))
print m.hexdigest()
print m2.hexdigest()
assert m.hexdigest() == m2.h
On Thu, Dec 4, 2008 at 17:43, Brennan Williams
<[EMAIL PROTECTED]> wrote:
> [EMAIL PROTECTED] wrote:
>> On Thu, Dec 4, 2008 at 6:17 PM, Brennan Williams
>> <[EMAIL PROTECTED]> wrote:
>>
>>> My app reads in one or more float arrays from a binary file.
>>>
>>> Sometimes due to network timeouts etc th
[EMAIL PROTECTED] wrote:
> On Thu, Dec 4, 2008 at 6:17 PM, Brennan Williams
> <[EMAIL PROTECTED]> wrote:
>
>> My app reads in one or more float arrays from a binary file.
>>
>> Sometimes due to network timeouts etc the array is not read correctly.
>>
>> What would be the best way of checking the
On Thu, Dec 4, 2008 at 6:17 PM, Brennan Williams
<[EMAIL PROTECTED]> wrote:
> My app reads in one or more float arrays from a binary file.
>
> Sometimes due to network timeouts etc the array is not read correctly.
>
> What would be the best way of checking the validity of the data?
>
> Would some s
On Thu, Dec 4, 2008 at 17:17, Brennan Williams
<[EMAIL PROTECTED]> wrote:
> My app reads in one or more float arrays from a binary file.
>
> Sometimes due to network timeouts etc the array is not read correctly.
>
> What would be the best way of checking the validity of the data?
>
> Would some sor
My app reads in one or more float arrays from a binary file.
Sometimes due to network timeouts etc the array is not read correctly.
What would be the best way of checking the validity of the data?
Would some sort of checksum approach be a good idea?
Would that work with an array of floating poin
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