mirror of
https://github.com/ANL-CEEESA/MIPLearn.git
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Update docs; fix Sphinx deps; bump to 0.4.2
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@@ -6,7 +6,7 @@ The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/),
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and this project adheres to
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[Semantic Versioning](https://semver.org/spec/v2.0.0.html).
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## [0.4.1] - 2024-12-10
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## [0.4.2] - 2024-12-10
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## Changed
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@@ -45,16 +45,10 @@
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"- Python version, compatible with the Pyomo and Gurobipy modeling languages,\n",
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"- Julia version, compatible with the JuMP modeling language.\n",
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"\n",
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"In this tutorial, we will demonstrate how to use and install the Python/Gurobipy version of the package. The first step is to install Python 3.8+ in your computer. See the [official Python website for more instructions](https://www.python.org/downloads/). After Python is installed, we proceed to install MIPLearn using `pip`:\n",
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"In this tutorial, we will demonstrate how to use and install the Python/Gurobipy version of the package. The first step is to install Python 3.9+ in your computer. See the [official Python website for more instructions](https://www.python.org/downloads/). After Python is installed, we proceed to install MIPLearn using `pip`:\n",
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"\n",
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"```\n",
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"$ pip install MIPLearn==0.4\n",
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"```\n",
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"\n",
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"In addition to MIPLearn itself, we will also install Gurobi 10.0, a state-of-the-art commercial MILP solver. This step also install a demo license for Gurobi, which should able to solve the small optimization problems in this tutorial. A license is required for solving larger-scale problems.\n",
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"\n",
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"```\n",
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"$ pip install 'gurobipy>=10,<10.1'\n",
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"$ pip install MIPLearn~=0.4\n",
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"```"
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]
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},
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@@ -45,16 +45,10 @@
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"- Python version, compatible with the Pyomo and Gurobipy modeling languages,\n",
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"- Julia version, compatible with the JuMP modeling language.\n",
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"\n",
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"In this tutorial, we will demonstrate how to use and install the Python/Pyomo version of the package. The first step is to install Python 3.8+ in your computer. See the [official Python website for more instructions](https://www.python.org/downloads/). After Python is installed, we proceed to install MIPLearn using `pip`:\n",
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"In this tutorial, we will demonstrate how to use and install the Python/Pyomo version of the package. The first step is to install Python 3.9+ in your computer. See the [official Python website for more instructions](https://www.python.org/downloads/). After Python is installed, we proceed to install MIPLearn using `pip`:\n",
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"\n",
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"```\n",
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"$ pip install MIPLearn==0.4\n",
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"```\n",
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"\n",
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"In addition to MIPLearn itself, we will also install Gurobi 10.0, a state-of-the-art commercial MILP solver. This step also install a demo license for Gurobi, which should able to solve the small optimization problems in this tutorial. A license is required for solving larger-scale problems.\n",
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"\n",
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"```\n",
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"$ pip install 'gurobipy>=10,<10.1'\n",
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"$ pip install MIPLearn~=0.4\n",
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"```"
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]
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},
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9
setup.py
9
setup.py
@@ -6,7 +6,7 @@ from setuptools import setup, find_namespace_packages
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setup(
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name="miplearn",
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version="0.4.1",
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version="0.4.2",
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author="Alinson S. Xavier",
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author_email="axavier@anl.gov",
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description="Extensible Framework for Learning-Enhanced Mixed-Integer Optimization",
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@@ -36,8 +36,13 @@ setup(
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"pyflakes==2.5.0",
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"pytest>=7,<8",
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"sphinx-book-theme==0.1.0",
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"sphinxcontrib-applehelp==1.0.4",
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"sphinxcontrib-devhelp==1.0.2",
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"sphinxcontrib-htmlhelp==2.0.1",
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"sphinxcontrib-serializinghtml==1.1.5",
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"sphinxcontrib-qthelp==1.0.3",
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"sphinx-multitoc-numbering>=0.1,<0.2",
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"twine>=4,<5",
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"twine>=6,<7",
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]
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},
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)
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