Documentation for the mockup_streamer

Lightweight Random Streamer

Tip

For fast startup when streaming random data, use the lightweight random_streamer module. This module avoids heavy imports (mne, scipy) and starts in ~0.2s instead of ~1.5s.

The github repository for this module is located at: https://github.com/bsdlab/dp-mockup-streamer

random_streamer.RandomStreamConfig	Configuration for a random data stream.
random_streamer.RandomStreamer	Lightweight random data streamer.
random_streamer.run_random_stream	Run a random data stream.
random_streamer.run_random_stream_thread	Run random streaming in a separate thread.

File-based Streamer

Note

The file-based streamer requires additional dependencies (mne, pyxdf). Install with: pip install dp-mockup-streamer[files]

main.MockupStream	A mockup streamer class to represent data from one source
main.run_stream
main.run_mockup_streamer_thread	Run the streaming within a separate thread and have a stop_event