[ https://issues.apache.org/jira/browse/CLIMATE-830?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15395327#comment-15395327 ]
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 > > -- This message was sent by Atlassian JIRA (v6.3.4#6332)