import numpy as np

class HDGLChannel:
    """Represents a dynamic HDGL channel handling memory, CPU, GPU, or network."""
    def __init__(self, id, capacity=1.0):
        self.id = id
        self.capacity = capacity  # normalized
        self.energy = 0.0        # current analog load
        self.tension = 0.0
        self.trace = 0.0

    def absorb(self, page_energy):
        # Analog superposition absorbs page or device load naturally
        self.trace = self.trace * 0.9 + page_energy * 0.1
        self.energy = self.trace
        self.tension = self.energy ** 1.5

class HDGLFabric:
    """Full lattice: memory, CPU, GPU, and network channels harmonically fused."""
    def __init__(self, num_channels=32):
        self.channels = [HDGLChannel(i) for i in range(num_channels)]
        self.devices = {}

    def register_device(self, name, energy_stream):
        """Register CPU/GPU/RAM/network as analog energy sources"""
        self.devices[name] = energy_stream

    def evolve(self):
        """Harmonic fusion: channels absorb device/page energies analogically"""
        for ch in self.channels:
            # natural analog blending: sum of all device/page contributions
            combined_energy = np.mean([stream() for stream in self.devices.values()])
            ch.absorb(combined_energy)
        # optional: cross-channel coupling for superposition fusion
        avg_energy = np.mean([ch.energy for ch in self.channels])
        for ch in self.channels:
            ch.trace = ch.trace * 0.95 + avg_energy * 0.05
            ch.energy = ch.trace
            ch.tension = ch.energy ** 1.5

    def status(self):
        return {f"channel-{ch.id}": ch.energy for ch in self.channels}

# -----------------------------
# Example usage: Debian initramfs + devices
# -----------------------------
def cpu_load():
    return np.random.rand() * 0.8  # normalized analog load

def gpu_load():
    return np.random.rand() * 0.9

def ram_load():
    return np.random.rand() * 0.7

def network_load():
    return np.random.rand() * 0.5

# instantiate lattice
fabric = HDGLFabric(num_channels=32)
fabric.register_device("CPU", cpu_load)
fabric.register_device("GPU", gpu_load)
fabric.register_device("RAM", ram_load)
fabric.register_device("Network", network_load)

# simulate boot evolution
for _ in range(16):
    fabric.evolve()
    print(fabric.status())
