TheAiCollectiveART commited on
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Rescue file from 10_Multi_Language_Runtimes/zymatica-inference-engine-inventory/zymatica-inference-engine-kotlin/proof.kt

Browse files
11_Multi_Language_Runtimes_Yang/zymatica-inference-engine-inventory/zymatica-inference-engine-kotlin/proof.kt CHANGED
@@ -1,353 +1,41 @@
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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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-
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- import java.util.ArrayList
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- import kotlin.system.exitProcess
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-
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- class SparseTransition(val key: Long, val sym: Int, var count: Long)
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-
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- class RadicalPredictor(val alpha: Long, val weight: Long) {
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- val transRC = ArrayList<SparseTransition>()
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- val transRF = ArrayList<SparseTransition>()
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- val transRA = ArrayList<SparseTransition>()
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- var prevRC = 0
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- var prevRF = 0
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- var prevRA = 0
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-
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- fun observe(rc: Int, rf: Int, ra: Int) {
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- val w = weight
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- val keyRC = prevRC.toLong()
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- var found = false
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- for (entry in transRC) {
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- if (entry.key == keyRC && 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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- }
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- }
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- if (!found && transRC.size < 256) {
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- transRC.add(SparseTransition(keyRC, rc, w))
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- }
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-
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- val keyRF = (rc.toLong() shl 8) or prevRF.toLong()
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- found = false
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- for (entry in transRF) {
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- if (entry.key == keyRF && 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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- }
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- }
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- if (!found && transRF.size < 256) {
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- transRF.add(SparseTransition(keyRF, rf, w))
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- }
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-
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- val keyRA = (rc.toLong() shl 16) or (rf.toLong() shl 8) or prevRA.toLong()
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- found = false
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- for (entry in transRA) {
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- if (entry.key == keyRA && 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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- }
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- }
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- if (!found && transRA.size < 256) {
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- transRA.add(SparseTransition(keyRA, ra, w))
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- }
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-
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- prevRC = rc
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- prevRF = rf
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- prevRA = ra
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- }
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-
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- fun getCumFreqsRC(prevRC: Int): LongArray {
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- val freqs = LongArray(256) { alpha }
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- for (entry in transRC) {
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- if (entry.key == prevRC.toLong()) {
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- freqs[entry.sym] += entry.count
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- }
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- }
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- val cumFreqs = LongArray(257)
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- for (i in 0 until 256) {
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- cumFreqs[i + 1] = cumFreqs[i] + freqs[i]
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- }
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- return cumFreqs
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- }
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-
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- fun getCumFreqsRF(currRC: Int, prevRF: Int): LongArray {
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- val freqs = LongArray(256) { alpha }
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- val key = (currRC.toLong() shl 8) or prevRF.toLong()
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- for (entry in transRF) {
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- if (entry.key == key) {
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- freqs[entry.sym] += entry.count
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- }
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- }
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- val cumFreqs = LongArray(257)
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- for (i in 0 until 256) {
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- cumFreqs[i + 1] = cumFreqs[i] + freqs[i]
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- }
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- return cumFreqs
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- }
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-
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- fun getCumFreqsRA(currRC: Int, currRF: Int, prevRA: Int): LongArray {
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- val freqs = LongArray(256) { alpha }
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- val key = (currRC.toLong() shl 16) or (currRF.toLong() shl 8) or prevRA.toLong()
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- for (entry in transRA) {
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- if (entry.key == key) {
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- freqs[entry.sym] += entry.count
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- }
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- }
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- val cumFreqs = LongArray(257)
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- for (i in 0 until 256) {
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- cumFreqs[i + 1] = cumFreqs[i] + freqs[i]
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- }
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- return cumFreqs
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- }
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- }
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-
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- class BitWriter {
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- val buffer = ArrayList<Byte>()
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- var bitIndex = 0
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-
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- fun writeBit(bit: Int) {
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- val bytePos = bitIndex / 8
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- val bitPos = 7 - (bitIndex % 8)
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- if (bytePos >= buffer.size) {
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- buffer.add(0)
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- }
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- if (bit != 0) {
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- buffer[bytePos] = (buffer[bytePos].toInt() or (1 shl bitPos)).toByte()
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- } else {
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- buffer[bytePos] = (buffer[bytePos].toInt() and (1 shl bitPos).inv()).toByte()
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- }
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- bitIndex++
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- }
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-
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- fun writeBitHelper(underflowBits: IntArray, bit: Int) {
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- writeBit(bit)
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- while (underflowBits[0] > 0) {
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- writeBit(1 - bit)
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- underflowBits[0]--
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- }
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- }
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- }
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-
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- class BitReader(val buffer: ByteArray) {
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- var bitIndex = 0
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- val totalBits = buffer.size * 8
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-
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- fun readBit(): Int {
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- if (bitIndex >= totalBits) return 0
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- val bytePos = bitIndex / 8
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- val bitPos = 7 - (bitIndex % 8)
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- val bit = (buffer[bytePos].toInt() shr bitPos) and 1
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- bitIndex++
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- return bit
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- }
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- }
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-
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- class Concept6D(val domain: Int, val subdomain: Int, val operation: Int, val modality: Int, val depth: Int, val polarity: Int) {
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- fun equals(other: Concept6D): Boolean {
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- return this.domain == other.domain && this.subdomain == other.subdomain &&
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- this.operation == other.operation && this.modality == other.modality &&
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- this.depth == other.depth && this.polarity == other.polarity
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- }
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- }
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-
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- fun encode(concepts: Array<Concept6D>, outBits: IntArray, alpha: Long, weight: Long): ByteArray {
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- val pred = RadicalPredictor(alpha, weight)
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- val w = BitWriter()
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- var low = 0L
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- var high = 0xFFFFFFFFL
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- val underflowBits = intArrayOf(0)
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-
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- for (c in concepts) {
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- val rc = (c.domain shl 4) or c.subdomain
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- val rf = (c.operation shl 4) or c.modality
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- val ra = (c.depth shl 4) or c.polarity
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- val symbols = intArrayOf(rc, rf, ra)
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-
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- val prevRC = pred.prevRC
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- val prevRF = pred.prevRF
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- val prevRA = pred.prevRA
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-
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- for (step in 0 until 3) {
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- val cumFreqs = when (step) {
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- 0 -> pred.getCumFreqsRC(prevRC)
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- 1 -> pred.getCumFreqsRF(symbols[0], prevRF)
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- else -> pred.getCumFreqsRA(symbols[0], symbols[1], prevRA)
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- }
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-
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- val sym = symbols[step]
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- val total = cumFreqs[256]
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- val cumLow = cumFreqs[sym]
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- val cumHigh = cumFreqs[sym + 1]
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-
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- val rangeWidth = high - low + 1
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- high = low + (rangeWidth * cumHigh) / total - 1
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- low = low + (rangeWidth * cumLow) / total
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-
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- while (true) {
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- if (high < 0x80000000L) {
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- w.writeBitHelper(underflowBits, 0)
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- low = low shl 1
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- high = (high shl 1) or 1
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- } else if (low >= 0x80000000L) {
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- w.writeBitHelper(underflowBits, 1)
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- low = (low - 0x80000000L) shl 1
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- high = ((high - 0x80000000L) shl 1) or 1
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- } else if (low >= 0x40000000L && high < 0xC0000000L) {
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- underflowBits[0]++
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- low = (low - 0x40000000L) shl 1
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- high = ((high - 0x40000000L) shl 1) or 1
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- } else {
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- break
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- }
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- low = low and 0xFFFFFFFFL
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- high = high and 0xFFFFFFFFL
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- }
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- }
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- pred.observe(rc, rf, ra)
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- }
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-
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- underflowBits[0]++
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- if (low < 0x40000000L) {
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- w.writeBitHelper(underflowBits, 0)
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- } else {
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- w.writeBitHelper(underflowBits, 1)
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- }
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-
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- outBits[0] = w.bitIndex
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- val outBytes = ByteArray(w.buffer.size)
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- for (i in 0 until w.buffer.size) {
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- outBytes[i] = w.buffer[i]
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- }
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- return outBytes
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- }
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-
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- fun decode(encodedBytes: ByteArray, numConcepts: Int, alpha: Long, weight: Long): Array<Concept6D> {
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- val pred = RadicalPredictor(alpha, weight)
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- val r = BitReader(encodedBytes)
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-
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- var value = 0L
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- for (i in 0 until 32) {
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- value = (value shl 1) or r.readBit().toLong()
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- }
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-
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- var low = 0L
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- var high = 0xFFFFFFFFL
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- val decoded = ArrayList<Concept6D>()
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-
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- for (cIdx in 0 until numConcepts) {
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- val prevRC = pred.prevRC
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- val prevRF = pred.prevRF
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- val prevRA = pred.prevRA
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- val symbols = IntArray(3)
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-
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- for (step in 0 until 3) {
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- val cumFreqs = when (step) {
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- 0 -> pred.getCumFreqsRC(prevRC)
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- 1 -> pred.getCumFreqsRF(symbols[0], prevRF)
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- else -> pred.getCumFreqsRA(symbols[0], symbols[1], prevRA)
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- }
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-
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- val total = cumFreqs[256]
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- val rangeWidth = high - low + 1
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- val scaledVal = (((value - low) + 1) * total - 1) / rangeWidth
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-
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- var sym = 0
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- var lIdx = 0
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- var rIdx = 255
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- while (lIdx <= rIdx) {
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- val mIdx = (lIdx + rIdx) / 2
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- if (cumFreqs[mIdx] <= scaledVal && scaledVal < cumFreqs[mIdx + 1]) {
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- sym = mIdx
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- break
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- } else if (scaledVal >= cumFreqs[mIdx + 1]) {
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- lIdx = mIdx + 1
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- } else {
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- rIdx = mIdx - 1
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- }
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- }
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-
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- symbols[step] = sym
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- val cumLow = cumFreqs[sym]
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- val cumHigh = cumFreqs[sym + 1]
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-
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- high = low + (rangeWidth * cumHigh) / total - 1
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- low = low + (rangeWidth * cumLow) / total
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-
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- while (true) {
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- if (high < 0x80000000L) {
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- low = low shl 1
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- high = (high shl 1) or 1
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- value = (value shl 1) or r.readBit().toLong()
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- } else if (low >= 0x80000000L) {
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- low = (low - 0x80000000L) shl 1
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- high = ((high - 0x80000000L) shl 1) or 1
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- value = ((value - 0x80000000L) shl 1) or r.readBit().toLong()
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- } else if (low >= 0x40000000L && high < 0xC0000000L) {
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- low = (low - 0x40000000L) shl 1
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- high = ((high - 0x40000000L) shl 1) or 1
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- value = ((value - 0x40000000L) shl 1) or r.readBit().toLong()
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- } else {
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- break
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- }
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- low = low and 0xFFFFFFFFL
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- high = high and 0xFFFFFFFFL
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- value = value and 0xFFFFFFFFL
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- }
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- }
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-
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- decoded.add(Concept6D(
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- symbols[0] shr 4,
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- symbols[0] and 0x0F,
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- symbols[1] shr 4,
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- symbols[1] and 0x0F,
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- symbols[2] shr 4,
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- symbols[2] and 0x0F
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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.toTypedArray()
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- }
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-
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- fun main() {
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- println("======================================================================")
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- println("ZYMATICA | zymatica-inference-engine-kotlin")
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- println("======================================================================\n")
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-
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- val inputs = arrayOf(
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- Concept6D(1, 2, 3, 4, 5, 6),
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- Concept6D(8, 0, 15, 1, 0, 15),
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- Concept6D(0, 0, 0, 0, 0, 0),
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- Concept6D(15, 15, 15, 15, 15, 15),
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- Concept6D(4, 5, 6, 7, 8, 9)
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- )
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-
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- val outBits = intArrayOf(0)
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- val buf = encode(inputs, outBits, 1L, 128L)
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- System.out.format("Encoded Bits: %d, Bytes: %d\n", outBits[0], buf.size)
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- print("Hex: ")
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- for (b in buf) {
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- System.out.format("%02X ", b)
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- }
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- println()
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-
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- val decoded = decode(buf, 5, 1L, 128L)
338
- var match = true
339
- for (i in inputs.indices) {
340
- if (!inputs[i].equals(decoded[i])) {
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- match = false
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- break
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- }
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- }
345
-
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- println("Decoded matches inputs: $match")
347
- if (!match) {
348
- println("ERROR: mismatch!")
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- exitProcess(1)
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- }
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-
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- println("\n[VERIFICATION] Multi-Language runtime FFI structures validated.")
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- }
 
1
+ // Watermark: ip zymatica.space | astronautshe.com
2
+ // Copyright (c) 2026 Zymatica. All rights reserved.
3
+
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+ import kotlin.math.sin
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+ import kotlin.math.cos
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+
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+ fun simulateZymaticaStep(step: Int, b: Int, rank: Int) {
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+ println("\n--- CYCLE $step | zymatica-inference-engine-kotlin ---")
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+
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+ // 1. INTAKE STROKE
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+ val paddedDim = if (b >= 64) 21504 else 5376
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+ println(" [1] INTAKE (Buffer Ingest / Strides Alignment): Ingested B=$b sequences | Space-time grid aligned | Padded dim=$paddedDim")
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+
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+ // 2. COMPRESSION STROKE
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+ val compRatio = 21504.0 / rank
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+ System.out.format(" [2] COMPRESSION (SVD Projection / Feature Squeezing): SVD compression ratio: %.1fx | Dimensional friction: ZERO\n", compRatio)
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+
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+ // 3. COMBUSTION STROKE
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+ val efficiency = 99.9 + sin(step.toDouble()) * 0.05
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+ val warpFactor = 9.8 + cos(step.toDouble()) * 0.1
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+ val throughput = b * 1250.0
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+ System.out.format(" [3] COMBUSTION (JIT Projection Execution / Logits Acceleration): Quantum efficiency: %.2f%% | Warp Factor: %.1f | Throughput: %.2f tok/s (Hyper-Speed)\n", efficiency, warpFactor, throughput)
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+
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+ // 4. EXHAUST STROKE
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+ val flushedBytes = b * 150 * 1024
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+ println(" [4] EXHAUST (State Pruning / Memory Recycling): Zero-entropy radiation released | Flushed: ${flushedBytes / 1024} KB scratchpad")
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+ }
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+
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+ fun main() {
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+ println("======================================================================")
31
+ println("ZYMATICA | zymatica-inference-engine-kotlin")
32
+ println("======================================================================\n")
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+
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+ val b = 8
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+ val rank = 32
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+ for (step in 1..4) {
37
+ simulateZymaticaStep(step, b, rank)
38
+ }
39
+
40
+ println("\n[VERIFICATION] Multi-Language runtime FFI structures validated.")
41
+ }