Trigger Scope

class gpype.frontend.widgets.trigger_scope.TriggerScope

Bases: Scope

Event-triggered oscilloscope widget for analyzing signal epochs.

Displays triggered signal epochs based on events detected by upstream trigger nodes. Visualizes fixed-duration signal segments around trigger events, ideal for analyzing ERPs and event-locked brain activity. Supports mathematical expressions and multi-plot overlay with legends.

class Configuration

Bases: Configuration

Configuration keys for TriggerScope widget settings.

Extends the base Scope configuration with trigger-specific parameters for amplitude scaling and mathematical plot expressions.

class Keys

Bases: Keys

Required configuration parameter keys.

AMPLITUDE_LIMIT = 'amplitude_limit'

Configuration key for Y-axis scale limit

PLOTS = 'plots'

Configuration key for mathematical expression list

class KeysOptional

Bases: object

Optional configuration parameter keys.

HIDDEN_CHANNELS = 'hidden_channels'

Configuration key for channels to hide from display

__init__(amplitude_limit=50, plots=None, hidden_channels=None, **kwargs)

Initialize the trigger scope widget.

Sets up mathematical expression parsing, input port configuration, and display parameters for event-triggered signal visualization.

Parameters:

• amplitude_limit (float) – Y-axis scale limit in microvolts (1-5000).

• plots (list) – List of mathematical expressions to evaluate and plot. Empty list defaults to [PORT_IN] for direct signal display.

• hidden_channels (list) – List of channel indices to hide from display. Empty list if None.

• **kwargs – Additional arguments passed to parent Scope class.

Raises:

ValueError – If amplitude_limit is outside reasonable range.

setup(data, port_context_in)

Initialize the widget with trigger parameters and allocate buffers.

Sets up the trigger scope based on upstream trigger node configuration including timing, sampling parameters, and channel configuration.

Parameters:

• data (dict[str, ndarray]) – Input data dictionary (not used in setup phase).

• port_context_in (dict[str, dict]) – Context information for input ports containing trigger timing and signal parameters.

Returns:

Updated port context for downstream components.

Return type:

dict

Raises:

ValueError – If required context parameters are missing or inconsistent across ports.

step(data)

Process incoming trigger epoch data and store for visualization.

Called by the pipeline for each new trigger epoch. Accumulates trigger epochs in buffers for averaging and mathematical expression evaluation.

Parameters:

data (dict[str, ndarray]) – Dictionary containing trigger epoch arrays from connected ports. Each array has shape (frame_size, channels) representing the pre/post trigger signal segment.

Returns:

Empty dictionary (this is a sink node with no outputs).

Return type:

dict