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Welcome to DataJoint for MATLAB!

DataJoint for MATLAB is a high-level programming interface for relational databases designed to support data processing chains in science labs. DataJoint is built on the foundation of the relational data model and prescribes a consistent method for organizing, populating, and querying data.

For more information, see our general DataJoint docs and DataJoint MATLAB docs.

For Developers: Running Tests Locally

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Create an .env with desired development environment values e.g.

MATLAB_USER=rguzman
MATLAB_LICENSE=IyBCRUd... # For image usage instructions see https://github.com/guzman-raphael/matlab, https://hub.docker.com/r/raphaelguzman/matlab
MATLAB_VERSION=R2019a
MATLAB_HOSTID=XX:XX:XX:XX:XX:XX
MATLAB_UID=1000
MATLAB_GID=1000
MYSQL_TAG=5.7
MINIO_VER=RELEASE.2022-01-03T18-22-58Z

cp local-docker-compose.yaml docker-compose.yaml
docker-compose up (Note configured JUPYTER_PASSWORD)
Select a means of running MATLAB e.g. Jupyter Notebook, GUI, or Terminal (see bottom)
Add tests directory to path e.g. in MATLAB, addpath('tests')
Run desired tests. Some examples are as follows:

Use Case	MATLAB Code
Run all tests	`run(Main)`
Run one class of tests	`run(TestTls)`
Run one specific test	`runtests('TestTls/TestTls_testInsecureConn')`
Run tests based on test name	`import matlab.unittest.TestSuite;`<br>`import matlab.unittest.selectors.HasName;`<br>`import matlab.unittest.constraints.ContainsSubstring;`<br>`suite = TestSuite.fromClass(?Main, ...` <br><code> </code>`HasName(ContainsSubstring('Conn')));`<br>`run(suite)`

Launch Jupyter Notebook

Navigate to localhost:8888
Input Jupyter password
Launch a notebook i.e. New > MATLAB

Launch MATLAB GUI (supports remote interactive debugger)

Shell into datajoint-matlab_app_1 i.e. docker exec -it datajoint-matlab_app_1 bash
Launch Matlab by running command matlab

Launch MATLAB Terminal

Shell into datajoint-matlab_app_1 i.e. docker exec -it datajoint-matlab_app_1 bash
Launch Matlab with no GUI by running command matlab -nodisplay

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