https://github.com/berquist/try-mypy-type-dispatch
https://github.com/berquist/try-mypy-type-dispatch
Last synced: 5 months ago
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- Host: GitHub
- URL: https://github.com/berquist/try-mypy-type-dispatch
- Owner: berquist
- License: other
- Created: 2024-11-05T16:00:42.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2025-12-11T11:30:37.000Z (7 months ago)
- Last Synced: 2025-12-12T12:40:33.926Z (7 months ago)
- Language: Python
- Size: 41 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 11
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Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE.txt
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README
# try-mypy-type-dispatch
mypy examples dispatching based on function arguments
## Features
* Feature 1
* Feature 2
* ...
## Development
To set up [hatch] and [pre-commit] for the first time:
1. install [hatch] globally, e.g. with [pipx], i.e. `pipx install hatch`,
2. make sure `pre-commit` is installed globally, e.g. with `pipx install pre-commit`.
A special feature that makes hatch very different from other familiar tools is that you almost never
activate, or enter, an environment. Instead, you use `hatch run env_name:command` and the `default` environment
is assumed for a command if there is no colon found. Thus you must always define your environment in a declarative
way and hatch makes sure that the environment reflects your declaration by updating it whenever you issue
a `hatch run ...`. This helps with reproducability and avoids forgetting to specify dependencies since the
hatch workflow is to specify everything directly in [pyproject.toml](pyproject.toml). Only in rare cases, you
will use `hatch shell` to enter the `default` environment, which is similar to what you may know from other tools.
To get you started, use `hatch run test:cov` or `hatch run test:no-cov` to run the unitest with or without coverage reports,
respectively. Use `hatch run lint:all` to run all kinds of typing and linting checks. Try to automatically fix linting
problems with `hatch run lint:fix` and use `hatch run docs:serve` to build and serve your documentation.
You can also easily define your own environments and commands. Check out the environment setup of hatch
in [pyproject.toml](pyproject.toml) for more commands as well as the package, build and tool configuration.
## Credits
This package was created with [The Hatchlor] project template.
[The Hatchlor]: https://github.com/florianwilhelm/the-hatchlor
[pipx]: https://pypa.github.io/pipx/
[hatch]: https://hatch.pypa.io/
[pre-commit]: https://pre-commit.com/