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https://issues.apache.org/jira/browse/CLIMATE-830?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15395327#comment-15395327
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ASF GitHub Bot commented on CLIMATE-830:
----------------------------------------
Github user coveralls commented on the issue:
https://github.com/apache/climate/pull/376
[](https://coveralls.io/builds/7181821)
Coverage decreased (-0.3%) to 83.395% when pulling
**615453772cfac1b3fbe7f898b22cac53945c4111 on Omkar20895:master** into
**442a9b2d7ef0c42547f1a055a513b07face41553 on apache:master**.
> Broken tests in dap.py
> ----------------------
>
> Key: CLIMATE-830
> URL: https://issues.apache.org/jira/browse/CLIMATE-830
> Project: Apache Open Climate Workbench
> Issue Type: Bug
> Affects Versions: 1.0.0
> Reporter: Omkar Reddy
> Assignee: Omkar Reddy
> Fix For: 1.2.0
>
>
> The code base in dap.py is written on a presumption that every
> variable(except lat, lon and time which are 1D variables) in the dataset
> loaded from OpenDap have lat, lon and time variables associated with them. It
> is evident lines 53, 54 and 55 in the code.
> The test cases fail when we use the dataset from this link [0]. There is only
> one variable(other than lat and lon) 'scale_factor' and has only lat and lon
> variables associated with it.
> [0]
> http://opendap-uat.jpl.nasa.gov/opendap/GeodeticsGravity/tellus/L3/mascon/RL05/JPL/CRI/netcdf/CLM4.SCALE_FACTOR.JPL.MSCNv01CRIv01.nc
>
>
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