Enhance multivariate MODE to support Python embedding inputs #2940
Labels
MET: Object Verification
Object-based feature Verification
MET: Python Embedding
priority: medium
Medium Priority
requestor: NCAR/RAL
NCAR Research Applications Laboratory
type: enhancement
Improve something that it is currently doing
Milestone
Describe the Enhancement
This issue is based on the dtcenter/METplus#2644 discussion. @CPKalb has found that running multi-variate MODE with 2 inputs that use Python embedding does not work as expected. @JohnHalleyGotway tested multivariate MODE directly and found that it errors out when parsing an input file list containing
PYTHON_NUMPY PYTHON_NUMPY
. Since those are not filenames that actually exist on the file system, it treats them as being missing files and thinks that it has 0 inputs.This task is to do the following:
Time Estimate
Approx 2 days.
Sub-Issues
Consider breaking the enhancement down into sub-issues.
Relevant Deadlines
List relevant project deadlines here or state NONE.
Funding Source
7760062 Integrating Fire Wx (but confirm first)
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Assignee
Labels
Milestone and Projects
Define Related Issue(s)
Consider the impact to the other METplus components.
Don't expect any impacts, but @CPKalb should test through METplus to confirm it works as expected.
Enhancement Checklist
See the METplus Workflow for details.
Branch name:
feature_<Issue Number>_<Description>
Pull request:
feature <Issue Number> <Description>
Select: Reviewer(s) and Development issue
Select: Milestone as the next official version
Select: MET-X.Y.Z Development project for development toward the next official release
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