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Update release notes
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jinningwang committed Sep 4, 2024
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6 changes: 3 additions & 3 deletions README.md
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Expand Up @@ -8,7 +8,6 @@ Python Software for Power System Scheduling Modeling and Co-Simulation with Dyna
![Repo Size](https://img.shields.io/github/repo-size/CURENT/ams)
[![GitHub last commit (master)](https://img.shields.io/github/last-commit/CURENT/ams/master?label=last%20commit%20to%20master)](https://github.com/CURENT/ams/commits/master/)
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[![libraries](https://img.shields.io/librariesio/release/pypi/ltbams)](https://libraries.io/pypi/ltbams)
[![Structure](https://img.shields.io/badge/code_base-visualize-blue)](https://mango-dune-07a8b7110.1.azurestaticapps.net/?repo=CURENT%2Fams)

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# Installation

***NOTE:***
- ``kvxopt`` is recommended to install via ``conda`` as sometimes ``pip`` struggles to set the correct path for compiled libraries
- `cvxpy` versions **below 1.5** are incompatible with `numpy` versions **2.0 and above**.
- Version **0.9.9** has known issues. Please avoid using this version
- `kvxopt` is recommended to install via `conda` as sometimes ``pip`` struggles to set the correct path for compiled libraries
- `cvxpy` versions **below 1.5** are incompatible with `numpy` versions **2.0 and above**

AMS is released as ``ltbams`` on PyPI and conda-forge.
Install from PyPI using pip:
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13 changes: 11 additions & 2 deletions docs/source/release-notes.rst
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Expand Up @@ -9,15 +9,24 @@ The APIs before v3.0.0 are in beta and may change without prior notice.
Pre-v1.0.0
==========

v0.9.9 (2024-xx-xx)
-------------------
v0.9.10 (2024-09-03)
--------------------

Hotfix of import issue in ``v0.9.9``.

Features developed in ``v0.9.9``:
- In module `MatProcessor`, add two parameters `permc_spec` and `use_umfpack` in function `build_ptdf`
- Follow RTD's deprecation of Sphinx context injection at build time
- In MATPOWER conversion, set devices name as None
- Skip macOS tests in azure-pipelines due to failure in fixing its configuration
- Prepare to support NumPy v2.0.0, but solvers have unexpected behavior
- Improve the logic of setting `Optz` value
- Support NumPy v2.0.0

v0.9.9 (2024-09-02)
-------------------

**IMPORTANT NOTICE: This version has known issues and should be avoided.**

v0.9.8 (2024-06-18)
-------------------
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