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Update README.md
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CodyCBakerPhD authored Jul 21, 2022
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# For Developers
## Running GIN tests locally
`nwb-conversion-tools` verifies the integrity of all code changes by running a full test suite on short examples of real data from the formats we support. There are two classes of tests in this regard; `tests/test_internals` does not require any data to be present and represents the 'minimal' expected behavior for our package, whereas `tests/test_on_data` requires the user to both perform a full install of dependencies (`pip install -r requirements-full.txt`) as well as download the associated data for each modality.
`neuroconv` verifies the integrity of all code changes by running a full test suite on short examples of real data from the formats we support. There are two classes of tests in this regard; `tests/test_internals` does not require any data to be present and represents the 'minimal' expected behavior for our package, whereas `tests/test_on_data` requires the user to both perform a full install of dependencies (`pip install -r requirements-full.txt`) as well as download the associated data for each modality.

### Install testing dependencies
In a clean environment run:
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