Hi Stuart,
Il giorno 21/ago/2011, alle ore 02.38, Stuart Mentzer ha scritto:
> Hello,
>
> Some kinds of HDF5-DIAG errors don't generate any exceptions making it
> difficult to do proper error handling. For example:
>
> HDF5-DIAG: Error detected in HDF5 (1.8.5) thread 0:
> #000: ..\..\..\src\H5Dio.c line 174 in H5Dread(): can't read data
> major: Dataset
> minor: Read failed
>
> doesn't raise an HDF5ExtError or any other exception. Is this something that
> can be fixed in PyTables?
I just performed a quick check on all calls to H5Dread and it seems to me that
in all cases there is a check for failures with relative HDF5ExtError exception
raising.
Can you please be a little more specific on how to reproduce the issue?
I encourage you to open an issue on https://github.com/PyTables/PyTables
> Also, can the HDF5-DIAG messages be suppressed? I know that the HDF5 API has
> a dontPrint call but I don't see a PyTables interface to that. If we can't
> detect these exceptions I at least want to mask them from end users.
>
> Thanks!
Yes "dontPrint" is part of the C++ API, the C one has "H5Eset_auto" to should
perform a similar task.
Well I suppose we could provide a function to suppress HDF5 messages but IMHO
it is more important to fix the issue regarding exception.
regards
--
Antonio Valentino
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