import numpy as np

class HDGLChannel:
    def __init__(self, id):
        self.id = id
        self.energy = 0.0      # analog load
        self.trace = 0.0
        self.tension = 0.0

    def absorb(self, analog_input):
        # natural analog absorption with damping
        self.trace = self.trace * 0.9 + analog_input * 0.1
        self.energy = self.trace
        self.tension = self.energy ** 1.5

class HDGLFabric:
    def __init__(self, num_channels=32):
        self.channels = [HDGLChannel(i) for i in range(num_channels)]
        self.streams = {}  # devices + memory pages

    def register_stream(self, name, analog_source):
        """Register any analog energy source: CPU, GPU, RAM, network, kernel/initramfs pages"""
        self.streams[name] = analog_source

    def evolve(self):
        """Analog harmonic fusion across all channels"""
        # 1. Compute combined superposition per channel
        for ch in self.channels:
            combined_energy = np.mean([src() for src in self.streams.values()])
            ch.absorb(combined_energy)
        # 2. Cross-channel harmonic fusion for emergent balancing
        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}

# -----------------------------
# Analog page & device streams
# -----------------------------
def analog_kernel_page():
    return np.random.rand() * 0.8  # normalized analog page activity

def analog_initramfs_page():
    return np.random.rand() * 0.6

def cpu_load(): return np.random.rand() * 0.9
def gpu_load(): return np.random.rand() * 0.85
def ram_load(): return np.random.rand() * 0.75
def network_load(): return np.random.rand() * 0.5

# -----------------------------
# Instantiate HDGL fabric
# -----------------------------
fabric = HDGLFabric(num_channels=32)

# Register kernel + initramfs pages dynamically
for i in range(64):  # 64 kernel pages
    fabric.register_stream(f"kernel_page_{i}", analog_kernel_page)
for i in range(128):  # 128 initramfs pages
    fabric.register_stream(f"initramfs_page_{i}", analog_initramfs_page)

# Register devices
fabric.register_stream("CPU", cpu_load)
fabric.register_stream("GPU", gpu_load)
fabric.register_stream("RAM", ram_load)
fabric.register_stream("Network", network_load)

# -----------------------------
# Simulate boot
# -----------------------------
for step in range(16):
    fabric.evolve()
    print(f"Step {step}: {fabric.status()}")
