@@ -46,6 +46,7 @@ or just try::
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$ python -m pip install cylp
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In case this fails, it is most likely that there is no wheel for your platform.
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+ In particular, there are no wheels for MacOS running on Apple Silicon.
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If you are on Linux, this can probably be addressed by switching to
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a supported Python version with, e.g., conda::
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On Linux/macOS with conda: Installation from source
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---------------------------------------------------
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- CyLP depends on `NumPy <https://numpy.org >`_ and `Cython <https://cython.org/ >`_
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- as prerequisites for building from source (`build-system requires `).
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- You will also need to install binaries for Cbc. The version should be 2.10 (recommended) or earlier
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+ To install from source, you will need to install binaries for Cbc or also build Cbc from source.
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+ The version should be 2.10 (recommended) or earlier
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(current master branch of Cbc will not work with this version of CyLP).
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The following commands will create and activate a new conda environment with all
@@ -84,7 +84,7 @@ Alternatively, if you have cloned CyLP from GitHub::
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On Linux/macOS with pip: Installation from source
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-------------------------------------------------
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- First of all, you will need to install binaries for Cbc. The version should be 2.10 (recommended) or earlier
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+ You will need to install binaries for Cbc. The version should be 2.10 (recommended) or earlier
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(current master branch of Cbc will not work with this version of CyLP).
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You can install Cbc by either by installing with your system's package manager, by downloading pre-built binaries,
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or by building yourself from source using `coinbrew <https://github.com/coin-or/coinbrew >`_.
@@ -109,9 +109,8 @@ Next, build and install CyLP::
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$ python -m pip install cylp
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- This will build CyLP in an isolated environment that provides the build prerequisites
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- and install it together with its runtime dependencies (`install-requires `),
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- NumPy and `SciPy <https://scipy.org> `.
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+ This will build CyLP install the runtime dependencies (`install-requires `),
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+ NumPy and `SciPy <https://scipy.org> ` and build and install CyLP.
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Testing your installation
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=========================
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