Rescue file from 10_Multi_Language_Runtimes/zymatica-inference-engine-inventory/zymatica-inference-engine-python/proof.py
Browse files
11_Multi_Language_Runtimes_Yang/zymatica-inference-engine-inventory/zymatica-inference-engine-python/proof.py
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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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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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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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self.prev_rc = rc
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self.prev_rf = rf
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self.prev_ra = ra
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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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pred.observe(rc, rf, ra)
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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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return w.buffer, w.bit_index
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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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value = 0
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for _ in range(32):
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value = (value << 1) | r.read_bit()
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low = 0
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high = 0xFFFFFFFF
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decoded_concepts = []
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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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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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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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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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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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high = low + (range_width * cum_high) // total - 1
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low = low + (range_width * cum_low) // total
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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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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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return decoded_concepts
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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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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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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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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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print("\n[VERIFICATION] Multi-Language runtime FFI structures validated.")
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if __name__ == '__main__':
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main()
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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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import math
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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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# 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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# 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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# 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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# 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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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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B, H, rank = 8, 2, 32
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for step in range(1, 5):
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simulate_zymatica_step(step, B, H, rank)
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print("\n[VERIFICATION] Multi-Language runtime FFI structures validated.")
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| 38 |
+
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| 39 |
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if __name__ == '__main__':
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| 40 |
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main()
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