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Repository: Is the source code for this software available at the repository url?
License: Does the repository contain a plain-text LICENSE file with the contents of an OSI approved software license?
Contribution and authorship: Has the submitting author made major contributions to the software? Does the full list of paper authors seem appropriate and complete?
Functionality
Installation: Does installation proceed as outlined in the documentation?
Functionality: Have the functional claims of the software been confirmed?
Performance: If there are any performance claims of the software, have they been confirmed? (If there are no claims, please check off this item.)
Documentation in code
NOTES:
Let's not touch the .pyf files for now - those should be automatically generated, so I am not sure we should add text to it.
Be mindful of the space before the """ for consistency use """ instead of ''' (although both work just fine)
update the readdocs template to extend copyright time range.
A statement of need: Do the authors clearly state what problems the software is designed to solve and who the target audience is?
Installation instructions: Is there a clearly-stated list of dependencies? Ideally these should be handled with an automated package management solution.
Example usage: Do the authors include examples of how to use the software (ideally to solve real-world analysis problems).
Functionality documentation: Is the core functionality of the software documented to a satisfactory level (e.g., API method documentation)?
Automated tests: Are there automated tests or manual steps?
SRH Documentation was added - but something seems to have gone wrong with the pull request for it as it didn't get added. Have added as a comment to the documentation set (#38) - but seems to be pull request here: #30
CAPE documentation for fortran I added and had in one of the pull requests - must've screwed something up. Will readdress.
Added initial statement of need/and purpose to paper - some of this might be better place in summary, but figured I'd run it here so we can edit it. Feel free to modify/edit.
Steps Remaining:
Add references to this paragraph.
We need to do some comparisons to the options available in the field, I say we go for Metpy, SharpPY.
General checks
Functionality
Documentation in code
NOTES:
Let's not touch the .pyf files for now - those should be automatically generated, so I am not sure we should add text to it.
Be mindful of the space before the """ for consistency use """ instead of ''' (although both work just fine)
within core.py
Documentation
Software paper
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