main.MockupStream

mockup_streamer.main.MockupStream(name, cfg, files=[])

A mockup streamer class to represent data from one source (file or random). Each such stream can have up to one markers stream associated which will be streamed in parallel with a separate name

Attributes

Name	Type	Description
name	str	Name of the stream
sfreq	float	Target sampling frequency
outlet	pylsl.StreamOutlet	pylsl StreamOutlet object data is pushed to
outlet_mrk	pylsl.StreamOutlet | None	pylsl StreamOutlet object markers are pushed to
buffer	np.ndarray	The pre buffered data to be streamed from
buffer_i	int	index of the current position in the data buffer
n_pushed	int	number of samples pushed
t_start_s	float	timestamp of the start of the stream, required samples will be calculated relative to this

Methods

Name	Description
load_next_data	Load the next data chunk into the buffer.
push_markers	Check if there is a marker within the index range and push if yes

load_next_data

mockup_streamer.main.MockupStream.load_next_data()

Load the next data chunk into the buffer.

This method handles loading data from files or generating random data based on the configuration. It initializes the buffer with the new data and resets the buffer index. If the configuration specifies markers, it also generates markers accordingly.

If no files are provided, random data is generated. If files are provided, the next file in the list is loaded. If the end of the file list is reached and the mode is set to ‘repeat’, the file index is reset to the beginning.

push_markers

mockup_streamer.main.MockupStream.push_markers(idx_from, idx_to)

Check if there is a marker within the index range and push if yes