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Instead, you use `hatch run env_name:command` and the `default` environment\nis assumed for a command if there is no colon found. Thus you must always define your environment in a declarative\nway and hatch makes sure that the environment reflects your declaration by updating it whenever you issue\na `hatch run ...`. This helps with reproducability and avoids forgetting to specify dependencies since the\nhatch workflow is to specify everything directly in [pyproject.toml](pyproject.toml). Only in rare cases, you\nwill use `hatch shell` to enter the `default` environment, which is similar to what you may know from other tools.\n\nTo get you started, use `hatch run test:cov` or `hatch run test:no-cov` to run the unitest with or without coverage reports,\nrespectively. Use `hatch run lint:all` to run all kinds of typing and linting checks. Try to automatically fix linting\nproblems with `hatch run lint:fix` and use `hatch run docs:serve` to build and serve your documentation.\nYou can also easily define your own environments and commands. Check out the environment setup of hatch\nin [pyproject.toml](pyproject.toml) for more commands as well as the package, build and tool configuration.\n\n## Credits\n\nThis package was created with [The Hatchlor] project template.\n\n[The Hatchlor]: https://github.com/florianwilhelm/the-hatchlor\n[pipx]: https://pypa.github.io/pipx/\n[hatch]: https://hatch.pypa.io/\n[pre-commit]: https://pre-commit.com/\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fberquist%2Ftry-mypy-type-dispatch","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fberquist%2Ftry-mypy-type-dispatch","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fberquist%2Ftry-mypy-type-dispatch/lists"}