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Update README.md
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update docker workaround for issue with installation on Apple ARM processor machines
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AlexTISYoung authored May 17, 2023
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Expand Up @@ -63,6 +63,11 @@ To overcome this, create a Python3.9 environment using conda and install using p
conda activate myenv
pip install snipar

# Apple ARM processor machines

There can be difficulties install *snipar* on Apple ARM processor machines due to lack of available versions of scientific computing software made for these processors' architectures. A workaround for this is to use *snipar* in a docker (https://docs.docker.com/desktop/install/mac-install/) image. To create an appropriate docker image, use this command in the terminal:

docker run -it amd64/python:3.9.9-slim-buster /bin/bash

# Running tests
To check that the code is working properly and that the C modules have been compiled, you can run the tests using this command:
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