File size: 7,099 Bytes
c8e724e | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 | import argparse
import struct
import numpy as np
# Binary file specification constants
GENESIS_MAGIC = 0x47454E45 # "GENE"
PERFECT_MAGIC = 0x50455246 # "PERF"
WATERMARK = b"ip zymatica.space".ljust(32, b" ")
GENESIS_VERSION = 12 # Version 12 for Level 8 Procedural Seed
def float32_to_float16_bytes(val):
"""Converts a float32 to a big-endian float16 byte structure."""
f16_val = np.array([val], dtype=np.float32).astype(np.float16)
return struct.pack('>H', f16_val.view(np.uint16)[0])
def float16_bytes_to_float32(b_val):
"""Converts big-endian float16 bytes back to a float32 value."""
u16_val = struct.unpack('>H', b_val)[0]
f16_val = np.array([u16_val], dtype=np.uint16).view(np.float16)[0]
return float(f16_val)
def serialize_genesis(metadata, layers_data):
"""Pack metadata and layers into a big-endian .genesis binary payload."""
payload = bytearray()
# 1. Header packing
payload.extend(struct.pack('>I', GENESIS_MAGIC))
payload.extend(struct.pack('>H', GENESIS_VERSION))
payload.extend(WATERMARK)
payload.extend(struct.pack('>I', PERFECT_MAGIC))
# 2. Network hyperparameters packing
payload.extend(struct.pack('>IIIIII',
metadata['hidden_size'],
metadata['num_heads'],
metadata['num_kv_heads'],
metadata['ffn_dim'],
metadata['num_blocks'],
metadata['vocab_size']))
# 3. Energy targets (4 floats)
payload.extend(struct.pack('>ffff', *metadata['energy_targets']))
# 4. Layer count
payload.extend(struct.pack('>I', len(layers_data)))
# 5. Layer projections body packing
for layer in layers_data:
name_bytes = layer['name'].encode('utf-8')
payload.extend(struct.pack('>H', len(name_bytes)))
payload.extend(name_bytes)
payload.extend(struct.pack('>III', layer['m'], layer['n'], len(layer['elements'])))
for elem in layer['elements']:
payload.extend(struct.pack('>BB', elem['u_idx'], elem['v_idx']))
payload.extend(float32_to_float16_bytes(elem['coefficient']))
return bytes(payload)
def deserialize_genesis(binary_data):
"""Unpack big-endian .genesis binary payload into Python objects."""
pos = 0
# 1. Parse Header
magic = struct.unpack_from('>I', binary_data, pos)[0]; pos += 4
assert magic == GENESIS_MAGIC, "Invalid magic!"
version = struct.unpack_from('>H', binary_data, pos)[0]; pos += 2
assert version == GENESIS_VERSION, "Invalid version!"
watermark = binary_data[pos : pos + 32].decode('utf-8').strip(); pos += 32
perf_magic = struct.unpack_from('>I', binary_data, pos)[0]; pos += 4
assert perf_magic == PERFECT_MAGIC, "Invalid secondary magic!"
# 2. Parse Network hyperparameters
hidden_size, num_heads, num_kv_heads, ffn_dim, num_blocks, vocab_size = struct.unpack_from('>IIIIII', binary_data, pos); pos += 24
energy_targets = struct.unpack_from('>ffff', binary_data, pos); pos += 16
layer_count = struct.unpack_from('>I', binary_data, pos)[0]; pos += 4
metadata = {
'version': version,
'watermark': watermark,
'hidden_size': hidden_size,
'num_heads': num_heads,
'num_kv_heads': num_kv_heads,
'ffn_dim': ffn_dim,
'num_blocks': num_blocks,
'vocab_size': vocab_size,
'energy_targets': list(energy_targets)
}
# 3. Parse Layers
layers = []
for _ in range(layer_count):
name_len = struct.unpack_from('>H', binary_data, pos)[0]; pos += 2
name = binary_data[pos : pos + name_len].decode('utf-8'); pos += name_len
m, n, rank = struct.unpack_from('>III', binary_data, pos); pos += 12
elements = []
for _ in range(rank):
u_idx, v_idx = struct.unpack_from('>BB', binary_data, pos); pos += 2
coeff_bytes = binary_data[pos : pos + 2]; pos += 2
coeff = float16_bytes_to_float32(coeff_bytes)
elements.append({
'u_idx': u_idx,
'v_idx': v_idx,
'coefficient': coeff
})
layers.append({
'name': name,
'm': m,
'n': n,
'elements': elements
})
return metadata, layers
def run_proof():
print("======================================================================")
print("ZYMATICA | Procedural Seed File Format: Binary Layout & Parsing Proof")
print("======================================================================\n")
# Define mock model metadata
metadata = {
'hidden_size': 1024,
'num_heads': 8,
'num_kv_heads': 2,
'ffn_dim': 3584,
'num_blocks': 24,
'vocab_size': 248320,
'energy_targets': [1.0, 1.25, 0.95, 1.1]
}
# Define mock layer projections
layers = [
{
'name': 'model.layers.0.self_attn.q_proj.weight',
'm': 1024,
'n': 1024,
'elements': [
{'u_idx': 15, 'v_idx': 42, 'coefficient': 0.854},
{'u_idx': 88, 'v_idx': 102, 'coefficient': -0.321}
]
},
{
'name': 'model.layers.0.self_attn.v_proj.weight',
'm': 1024,
'n': 256,
'elements': [
{'u_idx': 4, 'v_idx': 19, 'coefficient': 1.45},
{'u_idx': 120, 'v_idx': 3, 'coefficient': -0.925}
]
}
]
print("[1] Serializing Model Metadata & Layers to Binary Stream (.genesis)...")
binary_payload = serialize_genesis(metadata, layers)
print(f" -> Generated Binary stream size: {len(binary_payload)} bytes")
print("\n[2] Deserializing Binary Stream...")
meta_rec, layers_rec = deserialize_genesis(binary_payload)
print("\n[3] Verification Report:")
print(f" - Watermark: '{meta_rec['watermark']}' (Matches Expected: ip zymatica.space)")
print(f" - Version: v{meta_rec['version']}")
print(f" - Hidden Size: {meta_rec['hidden_size']}")
print(f" - FFN Dimension: {meta_rec['ffn_dim']}")
print(f" - Layer Count: {len(layers_rec)}")
for i, layer in enumerate(layers_rec):
print(f" * Layer {i+1}: '{layer['name']}' ({layer['m']}x{layer['n']})")
for j, elem in enumerate(layer['elements']):
expected = layers[i]['elements'][j]
print(f" Rank {j+1}: U={elem['u_idx']} V={elem['v_idx']} Coeff={elem['coefficient']:.4f} (Expected Coeff: {expected['coefficient']:.4f})")
print("\n[VERIFICATION] Binary serialization and parsing verified.")
if __name__ == "__main__":
parser = argparse.ArgumentParser(description="Zymatica .genesis Binary Parsing Proof")
parser.add_argument("--test", action="store_true", help="Run test mode")
args = parser.parse_args()
run_proof()
|