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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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@@ -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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