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import numpy as np
from typing import Dict, List, Any
import torch
import torch.nn as nn
class InformationMetrics:
def calculate(self, system_state: Dict[str, Any]) -> float:
# Placeholder implementation
return 1.0
class IntegrationAnalyzer:
def analyze(self, system_state: Dict[str, Any]) -> float:
# Placeholder implementation
return 0.8
class PhiPrimeCalculator:
def __init__(self, num_dimensions: int = 128):
self.num_dimensions = num_dimensions
self.integration_threshold = 0.7
self.information_metrics = InformationMetrics()
self.integration_analyzer = IntegrationAnalyzer()
def compute(self, system_state: Dict[str, Any]) -> float:
information_content = self.information_metrics.calculate(system_state)
integration_level = self.integration_analyzer.analyze(system_state)
return self._compute_phi_prime(information_content, integration_level)
def _compute_phi_prime(self, information: float, integration: float) -> float:
return (information * integration) / self.num_dimensions
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