# harmonics3.py
import numpy as np

# -------------------------------
# HDGL Channel Definition
# -------------------------------
class HDGLChannel:
    def __init__(self, size, name="generic"):
        self.size = size
        self.name = name
        self.buffer = bytearray(size)  # raw memory
        self.mapped_devices = []       # list of devices assigned
        self.active = True             # active in harmonic fusion

    def read(self):
        return self.buffer

    def write(self, data_bytes):
        if len(data_bytes) != self.size:
            data_bytes = data_bytes.ljust(self.size, b'\x00')[:self.size]
        self.buffer[:] = data_bytes

    def assign_device(self, device_name):
        if device_name not in self.mapped_devices:
            self.mapped_devices.append(device_name)

    def fuse_with(self, other_channel):
        """Harmonic fusion: combine buffers in analog-inspired way"""
        if not self.active or not other_channel.active:
            return
        data1 = np.frombuffer(self.buffer, dtype=np.uint8)
        data2 = np.frombuffer(other_channel.buffer, dtype=np.uint8)
        fused = ((data1.astype(np.uint16) + data2.astype(np.uint16)) // 2) % 256
        self.buffer[:] = fused.astype(np.uint8).tobytes()

# -------------------------------
# HDGL Lattice Definition
# -------------------------------
class HDGL_Lattice:
    def __init__(self, channels):
        self.channels = channels

    def operate_on_channel(self, channel):
        data = np.frombuffer(channel.read(), dtype=np.uint8).copy()
        data = (data + 1) % 256  # demo operation
        channel.write(data.tobytes())

    def execute_all(self):
        for idx, ch in enumerate(self.channels):
            self.operate_on_channel(ch)
            print(f"Channel {idx+1} [{ch.name}]: first 8 bytes {list(ch.read()[:8])}")

    def harmonic_fusion(self):
        """Fuse neighboring channels to simulate analog superposition"""
        for i in range(len(self.channels)-1):
            self.channels[i].fuse_with(self.channels[i+1])

# -------------------------------
# ELF / Initramfs Mapping
# -------------------------------
def map_bytes_to_channels(byte_data, channels, page_size=4096, device_name="generic"):
    num_pages = len(byte_data) // page_size + (len(byte_data) % page_size != 0)
    for i in range(num_pages):
        page = byte_data[i*page_size:(i+1)*page_size]
        channel = channels[i % len(channels)]  # round-robin or can be dynamic
        channel.write(page.ljust(page_size, b'\x00'))
        channel.assign_device(device_name)

# -------------------------------
# Demo Setup: Debian ELF + Initramfs
# -------------------------------
NUM_CHANNELS = 64
PAGE_SIZE = 4096

# Simulate kernel and initramfs bytes
kernel_bytes = bytearray([i % 256 for i in range(64*PAGE_SIZE)])
initramfs_bytes = bytearray([255 - (i % 256) for i in range(128*PAGE_SIZE)])

# Create dynamic channels with device labels
channels = [HDGLChannel(PAGE_SIZE, f"channel_{i}") for i in range(NUM_CHANNELS)]

# Map kernel/initramfs pages dynamically
map_bytes_to_channels(kernel_bytes, channels, PAGE_SIZE, device_name="CPU")
map_bytes_to_channels(initramfs_bytes, channels, PAGE_SIZE, device_name="Initramfs")
# Example of GPU memory mapping
for i in range(8):
    channels[i].assign_device("GPU")

# -------------------------------
# Execute HDGL Lattice Operations
# -------------------------------
HDGL = HDGL_Lattice(channels)
print(f"Boot: Mapped {len(kernel_bytes)//PAGE_SIZE} kernel pages "
      f"and {len(initramfs_bytes)//PAGE_SIZE} initramfs pages")

# Regular channel operations
HDGL.execute_all()

# Perform harmonic fusion across channels
HDGL.harmonic_fusion()
print("Harmonic fusion complete: channels fused analogically where applicable.")

# Show post-fusion state for first 8 channels
for i in range(8):
    print(f"Channel {i} [{channels[i].name}] mapped devices: {channels[i].mapped_devices}")
    print(f"First 8 bytes post-fusion: {list(channels[i].read()[:8])}")
