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https://issues.apache.org/jira/browse/CLIMATE-787?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15325933#comment-15325933
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Omkar Reddy commented on CLIMATE-787:
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>> That could work but it will increase the project size. I mean the user will
>> have to download these files even if he is never going to execute the tests.
>> If each file is around 50mb then 200mb of files will be downloaded just for
>> testing.
Pardon me if I am wrong, If you create the mock objects they too need to be in
the project and the too take up some space right??
>> Btw could you provide me some links to these files? I found some of these
>> files but they don't seem to work well with OCW. I could use these files for
>> testing (at least for now).
[~jarifibrahim] This link might help [0]
This (OpenDAP) is a data source for obtaining datasets in netcdf formats. You
can view the downloaded files using Panoply which is available at [1]
[0]
http://disc.sci.gsfc.nasa.gov/recipes/?q=recipes/How-to-Obtain-Data-in-NetCDF-Format-via-OPeNDAP
[1] http://www.giss.nasa.gov/tools/panoply/
Thanks.
> Create mock objects for test_local.py
> -------------------------------------
>
> Key: CLIMATE-787
> URL: https://issues.apache.org/jira/browse/CLIMATE-787
> Project: Apache Open Climate Workbench
> Issue Type: Test
> Components: tests
> Reporter: Ibrahim Jarif
>
> The current *test_local.py* file tests does not cover the following functions
> in *local.py*:
> # {code}load_WRF_2d_files(){code}
> # {code}load_dataset_from_multiple_netcdf_files(){code}
> # {code}load_NLDAS_forcingA_files(){code}
> # {code}load_GPM_IMERG_files(){code}
> To test these functions, necessary datasets are required. Downloading the
> dataset from the internet everytime the tests execute is not an efficient
> strategy.
> Hence, create mock datasets and objects that can be used to test these
> functions.
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