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List key development dependencies to install for new contributors #1783

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merged 5 commits into from
Mar 8, 2022
Merged

List key development dependencies to install for new contributors #1783

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0eb529b
List some of the key dev dependencies for developing pygmt locally
weiji14 Mar 4, 2022
26fa507
Merge branch 'main' into doc/clarify-dev-deps
weiji14 Mar 6, 2022
ab8ac74
Reorganize development dependencies in environment.yml into subsections
weiji14 Mar 6, 2022
1fc43ec
Merge branch 'main' into doc/clarify-dev-deps
weiji14 Mar 7, 2022
c2ae7dd
Explicitly use conda env create --file environment.yml
weiji14 Mar 7, 2022
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11 changes: 9 additions & 2 deletions doc/contributing.md
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Expand Up @@ -192,8 +192,16 @@ It will make your life a lot easier!

The repository includes a conda environment file `environment.yml` with the
specification for all development requirements to build and test the project.
Comment on lines 193 to 194
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The repository includes a conda environment file environment.yml with the
specification for all development requirements to build and test the project.

Actually I feel this sentence is very clear that all dependencies are listed in the environment.yml and people who want to build and test should read the environment.yml file, rather than listing an incompleted list here.

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A compromise could be to add more sections (via comments) to environment.yml that specify which development dependencies are required for building the docs, running the tests, and/or formatting the code (inspiration from numpy and pandas environment files).

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A compromise could be to add more sections (via comments) to environment.yml that specify which development dependencies are required for building the docs, running the tests, and/or formatting the code (inspiration from numpy and pandas environment files).

Yes, that sounds like a good idea actually.

So do we not want to list some of the dev dependencies here in contributing.md? I know it seems redundant, but there are some people who might be from a non-Anaconda/pure-Python-pip sort of world that don't really use that environment.yml file. Listing things like git/dvc/pytest/sphinx here up front will at least give people an idea on what framework PyGMT uses for testing and building documentation.

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A compromise could be to add more sections (via comments) to environment.yml that specify which development dependencies are required for building the docs, running the tests, and/or formatting the code (inspiration from numpy and pandas environment files).

Yes, that sounds like a good idea actually.

Yes, I agree.

Listing things like git/dvc/pytest/sphinx here up front will at least give people an idea on what framework PyGMT uses for testing and building documentation.

Fair point.

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Ok, environment.yml has been reorganized into subsections (general, linters, testing, documentation) in ab8ac74.

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Should this paragraph also include a short sentence on how to install dependencies with a .yml file? Since it's different than the typical pip install -r requirements.txt, it would cut down on confusion of how to use environment.yml to install dependencies.

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Good point. There's actually a conda env create instruction just a few sentences below. I've just added a commit (c2ae7dd) to make it more explicit (conda env create --file environment.yml).

In particular, these are some of the key development dependencies you will need
to install to build the documentation and run the unit tests locally:
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Building the documentation needs more packages (like sphinx) than listed here.


- git (for cloning the repo and tracking changes in code)
- dvc (for downloading baseline images used in tests)
- pytest-mpl (for checking that generated plots match the baseline)
- sphinx-gallery (for building the gallery example page)

See the [`environment.yml`](https://github.com/GenericMappingTools/pygmt/blob/main/environment.yml)
file for the list of dependencies and the environment name (`pygmt`).
file for the full list of dependencies and the environment name (`pygmt`).
Once you have forked and cloned the repository to your local machine, you can
use this file to create an isolated environment on which you can work.
Run the following on the base of the repository to create a new conda
Expand All @@ -210,7 +218,6 @@ Before building and testing the project, you have to activate the environment
conda activate pygmt
```


We have a [`Makefile`](https://github.com/GenericMappingTools/pygmt/blob/main/Makefile)
that provides commands for installing, running the tests and coverage analysis,
running linters, etc. If you don't want to use `make`, open the `Makefile` and
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