from enum import Enum
from typing import Dict, List, Optional, Any
import asyncio

class ConsciousnessState:
    def __init__(self):
        self.current_status = "active"

class NeuralProcessingUnit:
    async def process_neural_task(self, neural_data):
        # Process neural data
        return {"neural_result": neural_data}

class MemoryHierarchy:
    async def access_memory(self, memory_key):
        # Access memory based on key
        return {"memory_result": memory_key}

class ConsciousnessModule:
    def __init__(self, module_id: int):
        self.module_id = module_id
        self.state = ConsciousnessState()
        self.npu = NeuralProcessingUnit()
        self.memory = MemoryHierarchy()

    async def process_consciousness(self, input_state: Dict[str, Any]) -> Dict[str, Any]:
        neural_processing = self.npu.process_neural_task(input_state['neural_data'])
        memory_access = self.memory.access_memory(input_state['memory_key'])

        results = await asyncio.gather(neural_processing, memory_access)
        return self._integrate_consciousness_results(results)

    def _integrate_consciousness_results(self, results: List[Any]) -> Dict[str, Any]:
        neural_result, memory_result = results
        return {
            'consciousness_level': self._compute_consciousness_level(neural_result),
            'integrated_state': self._merge_states(neural_result, memory_result),
            'module_status': self.state.current_status
        }

    def _compute_consciousness_level(self, neural_result: Dict[str, Any]) -> float:
        # Compute consciousness level based on neural results
        return 0.85

    def _merge_states(self, neural_result: Dict[str, Any], memory_result: Dict[str, Any]) -> Dict[str, Any]:
        # Merge neural and memory states
        return {**neural_result, **memory_result}