from dataclasses import dataclass from typing import Any, Dict, List # Define the missing classes class MultiModalEncoder: def encode(self, input_data: Any) -> Dict[str, Any]: # Implementation would go here return {} class ContextIntegrator: def integrate(self, perception: Dict[str, Any]) -> Dict[str, Any]: # Implementation would go here return {} class ConsciousnessFilter: def filter(self, context: Dict[str, Any]) -> Any: # Implementation would go here return {} class ReflectiveAnalyzer: def analyze(self, filtered_state: Any) -> 'ProcessingState': # Implementation would go here return ProcessingState({}, {}, 0.0, {}) @dataclass class ProcessingState: perception_data: Dict[str, Any] context: Dict[str, Any] consciousness_level: float attention_focus: Dict[str, float] class ProcessingPipeline: def __init__(self): self.perception_encoder = MultiModalEncoder() self.context_integrator = ContextIntegrator() self.consciousness_filter = ConsciousnessFilter() self.reflective_analyzer = ReflectiveAnalyzer() def process(self, input_data: Any) -> ProcessingState: perception = self.perception_encoder.encode(input_data) context = self.context_integrator.integrate(perception) filtered_state = self.consciousness_filter.filter(context) return self.reflective_analyzer.analyze(filtered_state)