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Create a conda build recipe #261
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Is anyone working on this? I think it would be a great help. I'd love to have one set of simple instructions that work cross-platform. eg. "Dear Class, download Anaconda, type |
@rwest I'm thinking about integrating Cantera into a class next semester, so I planned to work on this over winter break (mid-December time frame). If you want to work on it before then, please feel free. I think it might be a bit easier if you use Ray's branch that includes Sundials as a submodule, in PR #309 |
OK. In the mean time, I'm guessing homebrew is the easiest way to get it on a OS X, but if I go that route does anyone know if it is compatible with the Acaconda binaries? |
@rwest Well, it turned out to be easier than I thought, and I didn't even have to make any changes to Cantera. I have a repo on my account, https://github.com/bryanwweber/conda-recipes/ where I've put the recipe. Its in the
The only version up there right now is built on 0703770, which is why they're on the
to install Cantera v2.2.0. If you get a chance, can you test them on machines that aren't developer machines? I'm not sure if there are any dependencies of the built libraries that don't get included with the package, since all of my machines are set up to develop Cantera. |
Brilliant! Thanks @bryanwweber. Will give it a spin when I get a chance. |
OK the stable version packages should be live now. To build the packages
will build the
following the clone will build the stable version packages. |
The recipes seem to be working pretty well, so I will close this issue now. |
I am on Windows 10.
This is my conda info and list
A colleague reports something similar on Windows 8. |
It might be that you're missing the VC++ redistributable. Try downloading the file from here: https://www.microsoft.com/en-us/download/details.aspx?id=48145 |
That worked, thank you. |
It should be possible to create a conda build recipe, so that Cantera can be used easily as part of the Anaconda/conda toolkit. On Windows, this may not be such an issue because executables are generally distributed, but might make it easier for Linux/Mac.
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