National Renewable Energy Laboratory's System Advisor Model DAO-Tk Python Wrapper, stub files
Project description
Release Notes
=======
Version 1.3.3, September 2, 2021 ~ SAM 2020.2.29 r2, SSC Version 240
- Fixed build issue
Version 1.3.2, September 1, 2021 ~ SAM 2020.2.29 r2, SSC Version 240
- Fixed build issue
Version 1.3.1, August 30, 2021 ~ SAM 2020.2.29 r2, SSC Version 240
- Fixed conflicts when installed alongside NREL-PySAM
Version 1.3.0, August 29, 2021 ~ SAM 2020.2.29 r2, SSC Version 240
- Added physical trough dispatch and state functionality
Version 1.2.2, May 4, 2021 ~ SAM 2020.2.29 r2, SSC Version 240
- Fixed more functionality
Version 1.2.1, May 3, 2021 ~ SAM 2020.2.29 r2, SSC Version 240
- Fixed functionality
Version 1.2.0, April 30, 2021 ~ SAM 2020.2.29 r2, SSC Version 240
- Added daotk-develop commits through Apr 27, 2021 (28ee05282dbac940826a91b130e470e3c27a5948)
Version 1.1.0, September 30, 2020 ~ SAM 2020.2.29 r2, SSC Version 240
- Added daotk-develop commits through Aug 20, 2020 (e71e4b54f6e38548045dc3869957bf79da8e23bc)
Version 1.0.1, August 3, 2020 ~ SAM 2020.2.29 r2, SSC Version 240
- Initial release + Linux support via manylinux1
Version 1.0.0, June 16, 2020 ~ SAM 2020.2.29 r2, SSC Version 240
- Initial release
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distributions
No source distribution files available for this release.See tutorial on generating distribution archives.
Built Distribution
File details
Details for the file NREL_PySAM_DAO_Tk_stubs-1.3.3-py3-none-any.whl
.
File metadata
- Download URL: NREL_PySAM_DAO_Tk_stubs-1.3.3-py3-none-any.whl
- Upload date:
- Size: 129.7 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.1.3.post20200325 requests-toolbelt/0.9.1 tqdm/4.45.0 CPython/3.7.6
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 2a0b7058d225a8b488d560f183edef1459ba53f5c1df7d85f947353ffdf6ca7b |
|
MD5 | 7e152dbb2c43351d55e3d356c72d9512 |
|
BLAKE2b-256 | 1ef765de7f25906388f9e240a072e2316d139cb58c3072ecf7c0436dc0018d57 |