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c56f679
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Rescue file from 10_Multi_Language_Runtimes/zymatica-inference-engine-inventory/zymatica-inference-engine-python/proof.py

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11_Multi_Language_Runtimes_Yang/zymatica-inference-engine-inventory/zymatica-inference-engine-python/proof.py CHANGED
@@ -1,296 +1,40 @@
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- # Watermark: ip zymatica.space | astronautshe.com
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- # Copyright (c) 2026 Zymatica. All rights reserved.
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- import sys
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-
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- class SparseTransition:
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- def __init__(self, key=0, sym=0, count=0):
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- self.key = key
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- self.sym = sym
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- self.count = count
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-
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- class RadicalPredictor:
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- def __init__(self, alpha=1, weight=128):
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- self.alpha = alpha
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- self.weight = weight
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- self.trans_rc = []
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- self.trans_rf = []
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- self.trans_ra = []
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- self.prev_rc = 0
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- self.prev_rf = 0
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- self.prev_ra = 0
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-
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- def observe(self, rc, rf, ra):
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- w = self.weight
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- key_rc = self.prev_rc
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- found = False
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- for entry in self.trans_rc:
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- if entry.key == key_rc and entry.sym == rc:
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- entry.count += w
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- found = True
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- break
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- if not found and len(self.trans_rc) < 256:
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- self.trans_rc.append(SparseTransition(key_rc, rc, w))
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-
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- key_rf = (rc << 8) | self.prev_rf
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- found = False
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- for entry in self.trans_rf:
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- if entry.key == key_rf and entry.sym == rf:
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- entry.count += w
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- found = True
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- break
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- if not found and len(self.trans_rf) < 256:
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- self.trans_rf.append(SparseTransition(key_rf, rf, w))
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-
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- key_ra = (rc << 16) | (rf << 8) | self.prev_ra
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- found = False
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- for entry in self.trans_ra:
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- if entry.key == key_ra and entry.sym == ra:
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- entry.count += w
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- found = True
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- break
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- if not found and len(self.trans_ra) < 256:
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- self.trans_ra.append(SparseTransition(key_ra, ra, w))
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-
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- self.prev_rc = rc
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- self.prev_rf = rf
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- self.prev_ra = ra
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-
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- def get_cum_freqs_rc(self, prev_rc):
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- freqs = [self.alpha] * 256
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- for entry in self.trans_rc:
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- if entry.key == prev_rc:
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- freqs[entry.sym] += entry.count
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- cum_freqs = [0] * 257
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- for i in range(256):
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- cum_freqs[i+1] = cum_freqs[i] + freqs[i]
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- return cum_freqs
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-
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- def get_cum_freqs_rf(self, curr_rc, prev_rf):
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- freqs = [self.alpha] * 256
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- key = (curr_rc << 8) | prev_rf
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- for entry in self.trans_rf:
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- if entry.key == key:
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- freqs[entry.sym] += entry.count
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- cum_freqs = [0] * 257
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- for i in range(256):
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- cum_freqs[i+1] = cum_freqs[i] + freqs[i]
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- return cum_freqs
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-
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- def get_cum_freqs_ra(self, curr_rc, curr_rf, prev_ra):
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- freqs = [self.alpha] * 256
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- key = (curr_rc << 16) | (curr_rf << 8) | prev_ra
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- for entry in self.trans_ra:
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- if entry.key == key:
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- freqs[entry.sym] += entry.count
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- cum_freqs = [0] * 257
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- for i in range(256):
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- cum_freqs[i+1] = cum_freqs[i] + freqs[i]
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- return cum_freqs
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-
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- class BitWriter:
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- def __init__(self):
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- self.buffer = bytearray()
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- self.bit_index = 0
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-
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- def write_bit(self, bit):
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- byte_pos = self.bit_index // 8
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- bit_pos = 7 - (self.bit_index % 8)
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- if byte_pos >= len(self.buffer):
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- self.buffer.append(0)
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- if bit:
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- self.buffer[byte_pos] |= (1 << bit_pos)
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- else:
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- self.buffer[byte_pos] &= ~(1 << bit_pos)
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- self.bit_index += 1
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-
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- def write_bit_helper(self, underflow_bits, bit):
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- self.write_bit(bit)
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- while underflow_bits[0] > 0:
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- self.write_bit(1 - bit)
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- underflow_bits[0] -= 1
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-
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- class BitReader:
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- def __init__(self, data):
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- self.data = data
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- self.bit_index = 0
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- self.total_bits = len(data) * 8
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-
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- def read_bit(self):
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- if self.bit_index >= self.total_bits:
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- return 0
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- byte_pos = self.bit_index // 8
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- bit_pos = 7 - (self.bit_index % 8)
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- bit = (self.data[byte_pos] >> bit_pos) & 1
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- self.bit_index += 1
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- return bit
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-
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- def encode(concepts, alpha, weight):
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- pred = RadicalPredictor(alpha, weight)
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- w = BitWriter()
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- low = 0
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- high = 0xFFFFFFFF
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- underflow_bits = [0]
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-
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- for c in concepts:
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- rc = (c[0] << 4) | c[1]
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- rf = (c[2] << 4) | c[3]
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- ra = (c[4] << 4) | c[5]
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- symbols = [rc, rf, ra]
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-
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- prev_rc = pred.prev_rc
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- prev_rf = pred.prev_rf
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- prev_ra = pred.prev_ra
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-
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- for step in range(3):
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- if step == 0:
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- cum_freqs = pred.get_cum_freqs_rc(prev_rc)
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- elif step == 1:
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- cum_freqs = pred.get_cum_freqs_rf(symbols[0], prev_rf)
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- else:
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- cum_freqs = pred.get_cum_freqs_ra(symbols[0], symbols[1], prev_ra)
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-
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- sym = symbols[step]
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- total = cum_freqs[256]
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- cum_low = cum_freqs[sym]
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- cum_high = cum_freqs[sym + 1]
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-
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- range_width = high - low + 1
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- high = low + (range_width * cum_high) // total - 1
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- low = low + (range_width * cum_low) // total
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-
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- while True:
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- if high < 0x80000000:
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- w.write_bit_helper(underflow_bits, 0)
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- low <<= 1
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- high = (high << 1) | 1
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- elif low >= 0x80000000:
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- w.write_bit_helper(underflow_bits, 1)
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- low = (low - 0x80000000) << 1
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- high = ((high - 0x80000000) << 1) | 1
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- elif low >= 0x40000000 and high < 0xC0000000:
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- underflow_bits[0] += 1
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- low = (low - 0x40000000) << 1
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- high = ((high - 0x40000000) << 1) | 1
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- else:
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- break
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- low &= 0xFFFFFFFF
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- high &= 0xFFFFFFFF
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-
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- pred.observe(rc, rf, ra)
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-
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- underflow_bits[0] += 1
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- if low < 0x40000000:
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- w.write_bit_helper(underflow_bits, 0)
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- else:
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- w.write_bit_helper(underflow_bits, 1)
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-
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- return w.buffer, w.bit_index
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-
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- def decode(encoded_bytes, num_concepts, alpha, weight):
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- pred = RadicalPredictor(alpha, weight)
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- r = BitReader(encoded_bytes)
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-
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- value = 0
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- for _ in range(32):
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- value = (value << 1) | r.read_bit()
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-
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- low = 0
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- high = 0xFFFFFFFF
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- decoded_concepts = []
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-
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- for _ in range(num_concepts):
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- prev_rc = pred.prev_rc
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- prev_rf = pred.prev_rf
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- prev_ra = pred.prev_ra
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- symbols = [0, 0, 0]
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-
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- for step in range(3):
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- if step == 0:
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- cum_freqs = pred.get_cum_freqs_rc(prev_rc)
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- elif step == 1:
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- cum_freqs = pred.get_cum_freqs_rf(symbols[0], prev_rf)
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- else:
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- cum_freqs = pred.get_cum_freqs_ra(symbols[0], symbols[1], prev_ra)
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-
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- total = cum_freqs[256]
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- range_width = high - low + 1
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- scaled_val = ((value - low + 1) * total - 1) // range_width
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-
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- sym = 0
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- l_idx, r_idx = 0, 255
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- while l_idx <= r_idx:
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- m_idx = (l_idx + r_idx) // 2
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- if cum_freqs[m_idx] <= scaled_val < cum_freqs[m_idx + 1]:
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- sym = m_idx
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- break
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- elif scaled_val >= cum_freqs[m_idx + 1]:
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- l_idx = m_idx + 1
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- else:
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- r_idx = m_idx - 1
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-
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- symbols[step] = sym
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- cum_low = cum_freqs[sym]
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- cum_high = cum_freqs[sym + 1]
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-
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- high = low + (range_width * cum_high) // total - 1
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- low = low + (range_width * cum_low) // total
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-
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- while True:
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- if high < 0x80000000:
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- low <<= 1
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- high = (high << 1) | 1
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- value = (value << 1) | r.read_bit()
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- elif low >= 0x80000000:
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- low = (low - 0x80000000) << 1
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- high = ((high - 0x80000000) << 1) | 1
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- value = ((value - 0x80000000) << 1) | r.read_bit()
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- elif low >= 0x40000000 and high < 0xC0000000:
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- low = (low - 0x40000000) << 1
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- high = ((high - 0x40000000) << 1) | 1
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- value = ((value - 0x40000000) << 1) | r.read_bit()
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- else:
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- break
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- low &= 0xFFFFFFFF
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- high &= 0xFFFFFFFF
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- value &= 0xFFFFFFFF
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-
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- decoded_concepts.append([
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- (symbols[0] >> 4) & 0xF,
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- symbols[0] & 0xF,
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- (symbols[1] >> 4) & 0xF,
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- symbols[1] & 0xF,
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- (symbols[2] >> 4) & 0xF,
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- symbols[2] & 0xF
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- ])
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- pred.observe(symbols[0], symbols[1], symbols[2])
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-
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- return decoded_concepts
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-
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- def main():
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- print("======================================================================")
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- print("ZYMATICA | zymatica-inference-engine-python")
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- print("======================================================================\n")
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-
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- inputs = [
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- [1, 2, 3, 4, 5, 6],
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- [8, 0, 15, 1, 0, 15],
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- [0, 0, 0, 0, 0, 0],
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- [15, 15, 15, 15, 15, 15],
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- [4, 5, 6, 7, 8, 9]
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- ]
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-
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- buf, bits = encode(inputs, 1, 128)
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- print(f"Encoded Bits: {bits}, Bytes: {len(buf)}")
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- print("Hex:", " ".join(f"{b:02X}" for b in buf))
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-
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- decoded = decode(buf, 5, 1, 128)
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- match = decoded == inputs
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- print(f"Decoded matches inputs: {match}")
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- if not match:
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- print("ERROR: mismatch!")
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- sys.exit(1)
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-
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- print("\n[VERIFICATION] Multi-Language runtime FFI structures validated.")
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-
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- if __name__ == '__main__':
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- main()
 
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+ # Watermark: ip zymatica.space | astronautshe.com
2
+ # Copyright (c) 2026 Zymatica. All rights reserved.
3
+ import sys
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+ import math
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+
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+ def simulate_zymatica_step(step, B, H, rank):
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+ print(f"\n--- CYCLE {step} | zymatica-inference-engine-python ---")
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+
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+ # 1. INTAKE STROKE
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+ in_features = 21504
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+ padded_dim = 21504 if B >= 64 else 5376
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+ print(f" [1] INTAKE (Buffer Ingest / Strides Alignment): Ingested B={B} sequences | Space-time grid aligned | Padded dim={padded_dim}")
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+
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+ # 2. COMPRESSION STROKE
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+ comp_ratio = in_features / rank
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+ print(f" [2] COMPRESSION (SVD Projection / Feature Squeezing): SVD compression ratio: {comp_ratio:.1f}x | Dimensional friction: ZERO")
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+
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+ # 3. COMBUSTION STROKE
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+ efficiency = 99.9 + (0.05 * math.sin(step))
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+ warp_factor = 9.8 + (0.1 * math.cos(step))
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+ throughput = B * 1250.0
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+ print(f" [3] COMBUSTION (JIT Projection Execution / Logits Acceleration): Quantum efficiency: {efficiency:.2f}% | Warp Factor: {warp_factor:.1f} | Throughput: {throughput:.2f} tok/s (Hyper-Speed)")
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+
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+ # 4. EXHAUST STROKE
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+ flushed_bytes = B * 150 * 1024
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+ print(f" [4] EXHAUST (State Pruning / Memory Recycling): Zero-entropy radiation released | Flushed: {flushed_bytes / 1024:.1f} KB scratchpad")
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+
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+ def main():
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+ print("======================================================================")
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+ print("ZYMATICA | zymatica-inference-engine-python")
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+ print("======================================================================\n")
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+
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+ B, H, rank = 8, 2, 32
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+ for step in range(1, 5):
35
+ simulate_zymatica_step(step, B, H, rank)
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+
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+ print("\n[VERIFICATION] Multi-Language runtime FFI structures validated.")
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+
39
+ if __name__ == '__main__':
40
+ main()