From aa22efae629c3496a6ce449043153a706d5afcd8 Mon Sep 17 00:00:00 2001 From: Cody Baker <51133164+CodyCBakerPhD@users.noreply.github.com> Date: Thu, 21 Jul 2022 10:52:02 -0400 Subject: [PATCH] Update README.md --- README.md | 16 +--------------- 1 file changed, 1 insertion(+), 15 deletions(-) diff --git a/README.md b/README.md index 322552ba4..5662d7dc2 100644 --- a/README.md +++ b/README.md @@ -88,20 +88,7 @@ Utilizing the CED recording interface, this project paired ecephys channels with `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. ### Install testing dependencies -We provide two easy ways of installing all the dependencies required for testing: - -1) The first is a `conda` based solution that creates an environment with all the dependencies already installed. - -```shell -git clone https://github.com/catalystneuro/nwb-conversion-tools -cd nwb-conversion-tools -conda env create -f make_env_testing.yml -conda activate nwb_conversion_testing_env -``` - -Note that this will also install `datalad` which is the endorsed way of downloading the testing data plus `pytest` and `pytest-cov` which are the tools that we use on our continuous integration suit. - -2) The same can be accomplished by using `pip`. In a clean environment run: +In a clean environment run: ```shell git clone https://github.com/catalystneuro/neuroconv @@ -109,7 +96,6 @@ cd neuroconv pip install .[test, full] ``` -Notice that this method does not install `datalad`. ### Downloading the data [Datalad](https://www.datalad.org/) (`conda install datalad`) is the recommended way for downloading the data. To do this; simply call: