nirs4all.controllers.flow package

Submodules

• nirs4all.controllers.flow.condition module
• nirs4all.controllers.flow.dummy module
  • DummyController
    • DummyController.execute()
    • DummyController.matches()
    • DummyController.priority
    • DummyController.supports_prediction_mode()
    • DummyController.use_multi_source()
• nirs4all.controllers.flow.scope module
• nirs4all.controllers.flow.sequential module

Module contents

Flow control controllers.

Controllers for flow control operators (condition, scope, sequential, dummy).

class nirs4all.controllers.flow.DummyController

Bases: OperatorController

Catch-all controller for operators not handled by other controllers.

This controller has the lowest priority and will catch any operators that don’t match other controllers, providing detailed debugging information about why they weren’t handled elsewhere.

execute(step_info: ParsedStep, dataset: SpectroDataset, context: ExecutionContext, runtime_context: RuntimeContext, source: int = -1, mode: str = 'train', loaded_binaries: List[Tuple[str, Any]] | None = None, prediction_store: Any | None = None) → Tuple[ExecutionContext, List[Tuple[str, bytes]]]

Handle unmatched operators and provide detailed debugging information.

classmethod matches(step: Any, operator: Any, keyword: str) → bool

Always match as a last resort.

This controller should only be reached if no other controller with higher priority has matched the step/operator/keyword combination.

priority: int = 1000

classmethod supports_prediction_mode() → bool

Dummy controller supports prediction mode.

classmethod use_multi_source() → bool

Check if the operator supports multi-source datasets.