issues
search
esa
/
NIDN
Neural Inverse Design of Nanostructures
GNU General Public License v3.0
37
stars
6
forks
source link
Release 0.1.1
#113
Closed
gomezzz
closed
2 years ago
gomezzz
commented
2 years ago
Feature
Changelog
Major
N / A
Minor
Added check if number of timesteps suffices for FDTD
Small bugfixes in FDTD (
https://github.com/esa/NIDN/pull/110/commits/bf988bd55571f2590f2868c5f7e70b8d4f1ffeaa
,
Added automatic removal of transient parts in FDTD signals
Added code from
https://github.com/sbyrnes321/tmm
to compare single slab solutions as further validation
Added notebook to compare with TMM and FDTD vs NIDN
Updated paper results notbooks
What Needs to Be Done (chronologically)
[x]
Write Changelog in PR and request review
(no reviewer)
[x]
Review the PR (if OK - merge, but DO NOT delete the branch)
(no reviewer)
[x] Minimize packages in requirements.txt submission. Update packages in setup.py
[x] Check unit tests -> Check all tests pass and there are tests for all important features
[x] Check documentation -> Check presence of documentation for all features by locally building the docs on the release
[x] Change version number in setup.py and docs (under conf.py)
[x] Trigger the Upload Python Package to testpypi GitHub Action (
https://github.com/esa/torchquad/actions/workflows/deploy_to_test_pypi.yml
) on the release branch (need to be logged in)
[x] Test the build on testpypi
[x] Create Release on GitHub from the last commit (the one reviewed in the PR) reviewed
[x] Upload to PyPI
Feature
Changelog
Major
N / A
Minor
What Needs to Be Done (chronologically)
Write Changelog in PR and request review(no reviewer)Review the PR (if OK - merge, but DO NOT delete the branch)(no reviewer)