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Project description

Met Office datasets intake driver and catalogue


Building the package


python3 sdist bdist_wheel
python3 -m twine upload -u informaticslab --repository testpypi dist/*


conda-build --user informaticslab -c conda-forge .

Uploading your package


# ensure `twine` is install
pip install twine
# package source code
python sdist
twine upload dist/*


Installing your package

After uploading to your repository of interest, you should be able to download and install your package according to the tools for that repository.


pip install mogreps_uk_dataset


conda install mogreps_uk_dataset

So tips building conda stuff. I said it took ages to build the env and didn't wat to keep doing that for testing the build. Answers:

Wolf Vollprecht @wolfv 15:08
you can point the shell to your workdir and run the from that folder
and you can source to get into the buidl env, then conda deactivate to get into the host env and install / modify packages in there
the workdir is shown in the error message after conda build failed
otherwise you might want to try conda mambabuild ... which is included in boa to see if that could help speed up your build env provisioning

Otherwise, you might want to try to use conda debug instead of conda build in the first place. This only creates the environment setup but doesn't start the build.

Project details

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Source Distribution

mogreps_uk_dataset-0.0.2.tar.gz (27.5 kB view hashes)

Uploaded source

Built Distribution

mogreps_uk_dataset-0.0.2-py3-none-any.whl (25.1 kB view hashes)

Uploaded py3

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