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
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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
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import kotlin.
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val
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transRF.add(SparseTransition(keyRF, rf, w))
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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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prevRC = rc
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prevRF = rf
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prevRA = ra
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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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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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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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class BitWriter {
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val buffer = ArrayList<Byte>()
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var bitIndex = 0
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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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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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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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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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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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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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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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val prevRC = pred.prevRC
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val prevRF = pred.prevRF
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val prevRA = pred.prevRA
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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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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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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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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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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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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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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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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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var low = 0L
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var high = 0xFFFFFFFFL
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val decoded = ArrayList<Concept6D>()
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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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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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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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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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symbols[step] = sym
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val cumLow = cumFreqs[sym]
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val cumHigh = cumFreqs[sym + 1]
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high = low + (rangeWidth * cumHigh) / total - 1
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low = low + (rangeWidth * cumLow) / total
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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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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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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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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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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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val decoded = decode(buf, 5, 1L, 128L)
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var match = true
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for (i in inputs.indices) {
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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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}
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println("Decoded matches inputs: $match")
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if (!match) {
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println("ERROR: mismatch!")
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exitProcess(1)
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}
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println("\n[VERIFICATION] Multi-Language runtime FFI structures validated.")
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}
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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 kotlin.math.sin
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import kotlin.math.cos
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fun simulateZymaticaStep(step: Int, b: Int, rank: Int) {
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println("\n--- CYCLE $step | zymatica-inference-engine-kotlin ---")
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// 1. INTAKE STROKE
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val paddedDim = if (b >= 64) 21504 else 5376
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println(" [1] INTAKE (Buffer Ingest / Strides Alignment): Ingested B=$b sequences | Space-time grid aligned | Padded dim=$paddedDim")
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// 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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// 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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// 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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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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val b = 8
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val rank = 32
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for (step in 1..4) {
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simulateZymaticaStep(step, b, rank)
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}
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println("\n[VERIFICATION] Multi-Language runtime FFI structures validated.")
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}
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