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Neuralpredictors\n\n[![Test](https://github.com/sinzlab/neuralpredictors/actions/workflows/test.yml/badge.svg)](https://github.com/sinzlab/neuralpredictors/actions/workflows/test.yml)\n[![codecov](https://codecov.io/gh/sinzlab/neuralpredictors/branch/main/graph/badge.svg)](https://codecov.io/gh/sinzlab/neuralpredictors)\n[![Black](https://github.com/sinzlab/neuralpredictors/actions/workflows/black.yml/badge.svg)](https://github.com/sinzlab/neuralpredictors/actions/workflows/black.yml)\n[![Mypy](https://github.com/sinzlab/neuralpredictors/actions/workflows/mypy.yml/badge.svg)](https://github.com/sinzlab/neuralpredictors/actions/workflows/mypy.yml)\n[![Isort](https://github.com/sinzlab/neuralpredictors/actions/workflows/isort.yml/badge.svg)](https://github.com/sinzlab/neuralpredictors/actions/workflows/isort.yml)\n[![PyPI version](https://badge.fury.io/py/neuralpredictors.svg)](https://badge.fury.io/py/neuralpredictors)\n[![DOI](https://zenodo.org/badge/164856779.svg)](https://zenodo.org/badge/latestdoi/164856779)\n\n\n[Sinz Lab](https://sinzlab.org/) Neural System Identification Utilities for [PyTorch](https://pytorch.org/).\n\n## How to run the tests :test_tube:\n\nClone this repository and run the following command from within the cloned repository to run all tests:\n\n```bash\ndocker-compose run pytest\n```\n\n## How to contribute :fire:\n\nPull requests (and issues) are always welcome. This section describes some\npreconditions that pull requests need to fulfill.\n\n### Tests\n\nPlease make sure your changes pass the tests. Take a look at the [test running\nsection](#how-to-run-the-tests-test_tube) for instructions on how to run them. Adding tests\nfor new code is not mandatory but encouraged.\n\n### Code Style\n\n#### black\n\nThis project uses the [black](https://github.com/psf/black) code formatter. You\ncan check whether your changes comply with its style by running the following\ncommand:\n\n```bash\ndocker-compose run black\n```\n\nFurthermore you can pass a path to the service to have black fix any errors in\nthe Python modules it finds in the given path.\n\n#### isort\n\n[isort](https://github.com/PyCQA/isort) is used to sort Python imports. You can check the order of imports by running the following command:\n\n```bash\ndocker-compose run isort\n```\n\nThe imports can be sorted by passing a path to the service.\n\n### Type Hints\n\nWe use [mypy](https://github.com/python/mypy) as a static type checker. Running\nthe following command will check the code for any type errors:\n\n```bash\ndocker-compose run mypy\n```\n\nIt is not necessary (but encouraged) to add type hints to new code but please\nmake sure your changes do not produce any mypy errors.\n\nNote that only modules specified in the `mypy-files.txt` file are checked by\nmypy. This is done to be able to add type hints gradually without drowning in\nerrors. If you want to add type annotations to a previously unchecked module\nyou have to add its path to `mypy-files.txt`.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsinzlab%2Fneuralpredictors","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsinzlab%2Fneuralpredictors","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsinzlab%2Fneuralpredictors/lists"}