Re-architect to flat repository structure without nested browser folder

Language-U-Browser.LLM

@@ -0,0 +1 @@
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README.md

@@ -31,7 +31,7 @@ This optimizes the coordinate payload size to just **110 Bytes** total for all b
 
 ---
 
-## Directory Structure
+## Repository Directory Structure
 
 ```text
 ├── logo.jpg                   # Zymatica Logo image
@@ -41,18 +41,17 @@ This optimizes the coordinate payload size to just **110 Bytes** total for all b
 ├── verify_language_u.lua      # Cross-language Lua range decoder
 ├── frameworks_db.json         # Raw database of 49 WebGL configurations
 ├── requirements.txt           # Python dependencies (numpy)
-└── Language-U-Browser/
-    ├── Language-U-Browser.LLM   # Level 6 compressed capsule (364 bytes)
-    ├── frameworks_metadata.json # SVD matrix bounds, singular values, and hashes
-    ├── frameworks_u.bin         # SVD Left-Singular quantized matrix (98 bytes)
-    ├── frameworks_vt.bin        # SVD Right-Singular quantized matrix (12 bytes)
-    ├── frameworks_dct.bin       # Empty placeholder DCT binary (0 bytes)
-    ├── frameworks_names.bin     # Tokenizer prefix-suffix vocab stream (410 bytes)
-    ├── frameworks_coordinates.bin # Compressed Yang Range Coder coordinates (27 bytes)
-    └── packets/                 # Level 7 transport packets
-        ├── packet_00.bin        # Packet 0 (255 bytes)
-        ├── packet_01.bin        # Packet 1 (255 bytes)
-        └── parity_packet.bin    # XOR-FEC parity packet (255 bytes)
+├── Language-U-Browser.LLM     # Level 6 compressed capsule (364 bytes)
+├── frameworks_metadata.json   # SVD matrix bounds, singular values, and hashes
+├── frameworks_u.bin           # SVD Left-Singular quantized matrix (98 bytes)
+├── frameworks_vt.bin          # SVD Right-Singular quantized matrix (12 bytes)
+├── frameworks_dct.bin         # Empty placeholder DCT binary (0 bytes)
+├── frameworks_names.bin       # Tokenizer prefix-suffix vocab stream (410 bytes)
+├── frameworks_coordinates.bin # Compressed Yang Range Coder coordinates (27 bytes)
+└── packets/                   # Level 7 transport packets
+    ├── packet_00.bin          # Packet 0 (255 bytes)
+    ├── packet_01.bin          # Packet 1 (255 bytes)
+    └── parity_packet.bin      # XOR-FEC parity packet (255 bytes)
 ```
 
 ---
@@ -67,7 +66,7 @@ pip install -r requirements.txt
 ```
 
 ### 2. Run the Ingestion & Compression Pipeline
-Running the ultimate pipeline script regenerates the binary coordinates, executes the 7-level semantic compression pipeline, and validates XOR-FEC packet healing:
+Running the pipeline script regenerates the binary coordinates, executes the 7-level semantic compression pipeline, and validates XOR-FEC packet healing:
 ```bash
 python run_ultimate_pipeline.py
 ```

VerifyLanguageU.java

@@ -1,342 +1,342 @@
-// ZYMATICA | Language-U Cross-Language Verification Engine (Java)
-// Watermark: ip zymatica.space | astronautshe.com
-
-import java.io.File;
-import java.io.FileInputStream;
-import java.io.IOException;
-import java.util.ArrayList;
-import java.util.List;
-
-public class VerifyLanguageU {
-
-    static class SparseTransition {
-        long key;
-        int sym;
-        long count;
-        SparseTransition(long key, int sym, long count) {
-            this.key = key;
-            this.sym = sym;
-            this.count = count;
-        }
-    }
-
-    static class RadicalPredictor {
-        long alpha;
-        long weight;
-        List<SparseTransition> transRC = new ArrayList<>();
-        List<SparseTransition> transRF = new ArrayList<>();
-        List<SparseTransition> transRA = new ArrayList<>();
-        int prevRC = 0;
-        int prevRF = 0;
-        int prevRA = 0;
-
-        RadicalPredictor(long alpha, long weight) {
-            this.alpha = alpha;
-            this.weight = weight;
-        }
-
-        void observe(int rc, int rf, int ra) {
-            long keyRC = prevRC;
-            boolean found = false;
-            for (SparseTransition entry : transRC) {
-                if (entry.key == keyRC && entry.sym == rc) {
-                    entry.count += weight;
-                    found = true;
-                    break;
-                }
-            }
-            if (!found && transRC.size() < 256) {
-                transRC.add(new SparseTransition(keyRC, rc, weight));
-            }
-
-            long keyRF = ((long)rc << 8) | prevRF;
-            found = false;
-            for (SparseTransition entry : transRF) {
-                if (entry.key == keyRF && entry.sym == rf) {
-                    entry.count += weight;
-                    found = true;
-                    break;
-                }
-            }
-            if (!found && transRF.size() < 256) {
-                transRF.add(new SparseTransition(keyRF, rf, weight));
-            }
-
-            long keyRA = ((long)rc << 16) | ((long)rf << 8) | prevRA;
-            found = false;
-            for (SparseTransition entry : transRA) {
-                if (entry.key == keyRA && entry.sym == ra) {
-                    entry.count += weight;
-                    found = true;
-                    break;
-                }
-            }
-            if (!found && transRA.size() < 256) {
-                transRA.add(new SparseTransition(keyRA, ra, weight));
-            }
-
-            prevRC = rc;
-            prevRF = rf;
-            prevRA = ra;
-        }
-
-        long[] getCumFreqsRC(int prevRC) {
-            long[] freqs = new long[256];
-            for (int i = 0; i < 256; i++) freqs[i] = alpha;
-            for (SparseTransition entry : transRC) {
-                if (entry.key == prevRC) {
-                    freqs[entry.sym] += entry.count;
-                }
-            }
-            long[] cumFreqs = new long[257];
-            for (int i = 0; i < 256; i++) {
-                cumFreqs[i + 1] = cumFreqs[i] + freqs[i];
-            }
-            return cumFreqs;
-        }
-
-        long[] getCumFreqsRF(int currRC, int prevRF) {
-            long[] freqs = new long[256];
-            for (int i = 0; i < 256; i++) freqs[i] = alpha;
-            long key = ((long)currRC << 8) | prevRF;
-            for (SparseTransition entry : transRF) {
-                if (entry.key == key) {
-                    freqs[entry.sym] += entry.count;
-                }
-            }
-            long[] cumFreqs = new long[257];
-            for (int i = 0; i < 256; i++) {
-                cumFreqs[i + 1] = cumFreqs[i] + freqs[i];
-            }
-            return cumFreqs;
-        }
-
-        long[] getCumFreqsRA(int currRC, int currRF, int prevRA) {
-            long[] freqs = new long[256];
-            for (int i = 0; i < 256; i++) freqs[i] = alpha;
-            long key = ((long)currRC << 16) | ((long)currRF << 8) | prevRA;
-            for (SparseTransition entry : transRA) {
-                if (entry.key == key) {
-                    freqs[entry.sym] += entry.count;
-                }
-            }
-            long[] cumFreqs = new long[257];
-            for (int i = 0; i < 256; i++) {
-                cumFreqs[i + 1] = cumFreqs[i] + freqs[i];
-            }
-            return cumFreqs;
-        }
-    }
-
-    static class BitReader {
-        byte[] buffer;
-        int bitIndex = 0;
-        int totalBits;
-
-        BitReader(byte[] buffer) {
-            this.buffer = buffer;
-            this.totalBits = buffer.length * 8;
-        }
-
-        int readBit() {
-            if (bitIndex >= totalBits) return 0;
-            int bytePos = bitIndex / 8;
-            int bitPos = 7 - (bitIndex % 8);
-            int bit = (buffer[bytePos] >> bitPos) & 1;
-            bitIndex++;
-            return bit;
-        }
-    }
-
-    static class ConceptRadicals {
-        int rc, rf, ra;
-        ConceptRadicals(int rc, int rf, int ra) {
-            this.rc = rc; this.rf = rf; this.ra = ra;
-        }
-    }
-
-    static int readVarint(byte[] data, int[] state) {
-        int val = 0;
-        int shift = 0;
-        while (true) {
-            if (state[0] >= data.length) break;
-            int b = data[state[0]] & 0xFF;
-            state[0]++;
-            val |= (b & 0x7F) << shift;
-            if ((b & 0x80) == 0) break;
-            shift += 7;
-        }
-        return val;
-    }
-
-    static List<String> decompressVocab(byte[] data, int numTokens) {
-        List<String> tokens = new ArrayList<>();
-        int[] state = {0};
-        String prev = "";
-        for (int i = 0; i < numTokens; i++) {
-            if (state[0] >= data.length) break;
-            int common = readVarint(data, state);
-            int suffixLen = readVarint(data, state);
-            byte[] suffixBytes = new byte[suffixLen];
-            System.arraycopy(data, state[0], suffixBytes, 0, suffixLen);
-            state[0] += suffixLen;
-            
-            String suffix = new String(suffixBytes);
-            String token = prev.substring(0, Math.min(common, prev.length())) + suffix;
-            tokens.add(token);
-            prev = token;
-        }
-        return tokens;
-    }
-
-    static List<ConceptRadicals> decode(byte[] encodedBytes, int numConcepts, long alpha, long weight) {
-        RadicalPredictor pred = new RadicalPredictor(alpha, weight);
-        BitReader r = new BitReader(encodedBytes);
-
-        long value = 0;
-        for (int i = 0; i < 32; i++) {
-            value = (value << 1) | r.readBit();
-        }
-
-        long low = 0;
-        long high = 0xFFFFFFFFL;
-        List<ConceptRadicals> decoded = new ArrayList<>();
-
-        for (int cIdx = 0; cIdx < numConcepts; cIdx++) {
-            int prevRC = pred.prevRC;
-            int prevRF = pred.prevRF;
-            int prevRA = pred.prevRA;
-            int[] symbols = new int[3];
-
-            for (int step = 0; step < 3; step++) {
-                long[] cumFreqs;
-                if (step == 0) {
-                    cumFreqs = pred.getCumFreqsRC(prevRC);
-                } else if (step == 1) {
-                    cumFreqs = pred.getCumFreqsRF(symbols[0], prevRF);
-                } else {
-                    cumFreqs = pred.getCumFreqsRA(symbols[0], symbols[1], prevRA);
-                }
-
-                long total = cumFreqs[256];
-                long rangeWidth = high - low + 1;
-                long scaledVal = (((value - low) + 1) * total - 1) / rangeWidth;
-
-                int sym = 0;
-                int lIdx = 0, rIdx = 255;
-                while (lIdx <= rIdx) {
-                    int mIdx = (lIdx + rIdx) / 2;
-                    if (cumFreqs[mIdx] <= scaledVal && scaledVal < cumFreqs[mIdx + 1]) {
-                        sym = mIdx;
-                        break;
-                    } else if (scaledVal >= cumFreqs[mIdx + 1]) {
-                        lIdx = mIdx + 1;
-                    } else {
-                        rIdx = mIdx - 1;
-                    }
-                }
-
-                symbols[step] = sym;
-                long cumLow = cumFreqs[sym];
-                long cumHigh = cumFreqs[sym + 1];
-
-                high = low + (rangeWidth * cumHigh) / total - 1;
-                low = low + (rangeWidth * cumLow) / total;
-
-                while (true) {
-                    if (high < 0x80000000L) {
-                        low <<= 1;
-                        high = (high << 1) | 1;
-                        value = (value << 1) | r.readBit();
-                    } else if (low >= 0x80000000L) {
-                        low = (low - 0x80000000L) << 1;
-                        high = ((high - 0x80000000L) << 1) | 1;
-                        value = ((value - 0x80000000L) << 1) | r.readBit();
-                    } else if (low >= 0x40000000L && high < 0xC0000000L) {
-                        low = (low - 0x40000000L) << 1;
-                        high = ((high - 0x40000000L) << 1) | 1;
-                        value = ((value - 0x40000000L) << 1) | r.readBit();
-                    } else {
-                        break;
-                    }
-                    low &= 0xFFFFFFFFL;
-                    high &= 0xFFFFFFFFL;
-                    value &= 0xFFFFFFFFL;
-                }
-            }
-
-            decoded.add(new ConceptRadicals(symbols[0], symbols[1], symbols[2]));
-            pred.observe(symbols[0], symbols[1], symbols[2]);
-        }
-        return decoded;
-    }
-
-    public static void main(String[] args) throws IOException {
-        System.out.println("======================================================================");
-        System.out.println("ZYMATICA | Cross-Language Java Decompressor & Range-Decoder");
-        System.out.println("======================================================================\n");
-
-        File namesFile = new File("Language-U-Browser/frameworks_names.bin");
-        File coordsFile = new File("Language-U-Browser/frameworks_coordinates.bin");
-
-        if (!namesFile.exists() || !coordsFile.exists()) {
-            System.err.println("[!] Error: Binary transport files not found. Run run_ultimate_pipeline.py first.");
-            System.exit(1);
-        }
-
-        // 1. Read names binary
-        byte[] namesBytes = new byte[(int) namesFile.length()];
-        try (FileInputStream fis = new FileInputStream(namesFile)) {
-            fis.read(namesBytes);
-        }
-
-        // 2. Read coordinates binary
-        byte[] coordsBytes = new byte[(int) coordsFile.length()];
-        try (FileInputStream fis = new FileInputStream(coordsFile)) {
-            fis.read(coordsBytes);
-        }
-
-        // 3. Decompress vocabulary names
-        List<String> names = decompressVocab(namesBytes, 49);
-        System.out.println("[1] Java Vocab Decompression: SUCCESS (" + names.size() + " names restored).");
-
-        // 4. Formulate expected radicals based on the same rules
-        List<ConceptRadicals> expected = new ArrayList<>();
-        for (String name : names) {
-            int domain = 1;
-            String lower = name.toLowerCase();
-            if (lower.contains("pixi") || lower.contains("phaser") || lower.contains("away") || lower.contains("p5")) {
-                domain = 2;
-            } else if (lower.contains("scenejs") || lower.contains("glam") || lower.contains("deck") || lower.contains("cesium") || lower.contains("luma") || lower.contains("philo")) {
-                domain = 7;
-            }
-            int rc = (domain << 4) | 2;
-            int rf = (1 << 4) | 2;
-            int ra = (15 << 4) | 12;
-            expected.add(new ConceptRadicals(rc, rf, ra));
-        }
-
-        // 5. Decode radicals using Yang range decoder in Java
-        List<ConceptRadicals> decoded = decode(coordsBytes, 49, 1, 128);
-        System.out.println("[2] Java Yang Range Decoder execution: SUCCESS.");
-
-        // 6. Assert exact equivalence (dynamic validation)
-        boolean match = true;
-        for (int i = 0; i < 49; i++) {
-            ConceptRadicals exp = expected.get(i);
-            ConceptRadicals dec = decoded.get(i);
-            if (exp.rc != dec.rc || exp.rf != dec.rf || exp.ra != dec.ra) {
-                System.err.println("[!] Mismatch at index " + i + " (" + names.get(i) + "): Expected RC=" + exp.rc + ", RF=" + exp.rf + ", RA=" + exp.ra + " | Decoded RC=" + dec.rc + ", RF=" + dec.rf + ", RA=" + dec.ra);
-                match = false;
-                break;
-            }
-        }
-
-        if (match) {
-            System.out.println("\n[SUCCESS] Java range-decoder verification: 100% MATCH!");
-        } else {
-            System.err.println("\n[ERROR] Java dynamic coordinate check failed!");
-            System.exit(1);
-        }
-    }
-}
+// ZYMATICA | Language-U Cross-Language Verification Engine (Java)
+// Watermark: ip zymatica.space | astronautshe.com
+
+import java.io.File;
+import java.io.FileInputStream;
+import java.io.IOException;
+import java.util.ArrayList;
+import java.util.List;
+
+public class VerifyLanguageU {
+
+    static class SparseTransition {
+        long key;
+        int sym;
+        long count;
+        SparseTransition(long key, int sym, long count) {
+            this.key = key;
+            this.sym = sym;
+            this.count = count;
+        }
+    }
+
+    static class RadicalPredictor {
+        long alpha;
+        long weight;
+        List<SparseTransition> transRC = new ArrayList<>();
+        List<SparseTransition> transRF = new ArrayList<>();
+        List<SparseTransition> transRA = new ArrayList<>();
+        int prevRC = 0;
+        int prevRF = 0;
+        int prevRA = 0;
+
+        RadicalPredictor(long alpha, long weight) {
+            this.alpha = alpha;
+            this.weight = weight;
+        }
+
+        void observe(int rc, int rf, int ra) {
+            long keyRC = prevRC;
+            boolean found = false;
+            for (SparseTransition entry : transRC) {
+                if (entry.key == keyRC && entry.sym == rc) {
+                    entry.count += weight;
+                    found = true;
+                    break;
+                }
+            }
+            if (!found && transRC.size() < 256) {
+                transRC.add(new SparseTransition(keyRC, rc, weight));
+            }
+
+            long keyRF = ((long)rc << 8) | prevRF;
+            found = false;
+            for (SparseTransition entry : transRF) {
+                if (entry.key == keyRF && entry.sym == rf) {
+                    entry.count += weight;
+                    found = true;
+                    break;
+                }
+            }
+            if (!found && transRF.size() < 256) {
+                transRF.add(new SparseTransition(keyRF, rf, weight));
+            }
+
+            long keyRA = ((long)rc << 16) | ((long)rf << 8) | prevRA;
+            found = false;
+            for (SparseTransition entry : transRA) {
+                if (entry.key == keyRA && entry.sym == ra) {
+                    entry.count += weight;
+                    found = true;
+                    break;
+                }
+            }
+            if (!found && transRA.size() < 256) {
+                transRA.add(new SparseTransition(keyRA, ra, weight));
+            }
+
+            prevRC = rc;
+            prevRF = rf;
+            prevRA = ra;
+        }
+
+        long[] getCumFreqsRC(int prevRC) {
+            long[] freqs = new long[256];
+            for (int i = 0; i < 256; i++) freqs[i] = alpha;
+            for (SparseTransition entry : transRC) {
+                if (entry.key == prevRC) {
+                    freqs[entry.sym] += entry.count;
+                }
+            }
+            long[] cumFreqs = new long[257];
+            for (int i = 0; i < 256; i++) {
+                cumFreqs[i + 1] = cumFreqs[i] + freqs[i];
+            }
+            return cumFreqs;
+        }
+
+        long[] getCumFreqsRF(int currRC, int prevRF) {
+            long[] freqs = new long[256];
+            for (int i = 0; i < 256; i++) freqs[i] = alpha;
+            long key = ((long)currRC << 8) | prevRF;
+            for (SparseTransition entry : transRF) {
+                if (entry.key == key) {
+                    freqs[entry.sym] += entry.count;
+                }
+            }
+            long[] cumFreqs = new long[257];
+            for (int i = 0; i < 256; i++) {
+                cumFreqs[i + 1] = cumFreqs[i] + freqs[i];
+            }
+            return cumFreqs;
+        }
+
+        long[] getCumFreqsRA(int currRC, int currRF, int prevRA) {
+            long[] freqs = new long[256];
+            for (int i = 0; i < 256; i++) freqs[i] = alpha;
+            long key = ((long)currRC << 16) | ((long)currRF << 8) | prevRA;
+            for (SparseTransition entry : transRA) {
+                if (entry.key == key) {
+                    freqs[entry.sym] += entry.count;
+                }
+            }
+            long[] cumFreqs = new long[257];
+            for (int i = 0; i < 256; i++) {
+                cumFreqs[i + 1] = cumFreqs[i] + freqs[i];
+            }
+            return cumFreqs;
+        }
+    }
+
+    static class BitReader {
+        byte[] buffer;
+        int bitIndex = 0;
+        int totalBits;
+
+        BitReader(byte[] buffer) {
+            this.buffer = buffer;
+            this.totalBits = buffer.length * 8;
+        }
+
+        int readBit() {
+            if (bitIndex >= totalBits) return 0;
+            int bytePos = bitIndex / 8;
+            int bitPos = 7 - (bitIndex % 8);
+            int bit = (buffer[bytePos] >> bitPos) & 1;
+            bitIndex++;
+            return bit;
+        }
+    }
+
+    static class ConceptRadicals {
+        int rc, rf, ra;
+        ConceptRadicals(int rc, int rf, int ra) {
+            this.rc = rc; this.rf = rf; this.ra = ra;
+        }
+    }
+
+    static int readVarint(byte[] data, int[] state) {
+        int val = 0;
+        int shift = 0;
+        while (true) {
+            if (state[0] >= data.length) break;
+            int b = data[state[0]] & 0xFF;
+            state[0]++;
+            val |= (b & 0x7F) << shift;
+            if ((b & 0x80) == 0) break;
+            shift += 7;
+        }
+        return val;
+    }
+
+    static List<String> decompressVocab(byte[] data, int numTokens) {
+        List<String> tokens = new ArrayList<>();
+        int[] state = {0};
+        String prev = "";
+        for (int i = 0; i < numTokens; i++) {
+            if (state[0] >= data.length) break;
+            int common = readVarint(data, state);
+            int suffixLen = readVarint(data, state);
+            byte[] suffixBytes = new byte[suffixLen];
+            System.arraycopy(data, state[0], suffixBytes, 0, suffixLen);
+            state[0] += suffixLen;
+            
+            String suffix = new String(suffixBytes);
+            String token = prev.substring(0, Math.min(common, prev.length())) + suffix;
+            tokens.add(token);
+            prev = token;
+        }
+        return tokens;
+    }
+
+    static List<ConceptRadicals> decode(byte[] encodedBytes, int numConcepts, long alpha, long weight) {
+        RadicalPredictor pred = new RadicalPredictor(alpha, weight);
+        BitReader r = new BitReader(encodedBytes);
+
+        long value = 0;
+        for (int i = 0; i < 32; i++) {
+            value = (value << 1) | r.readBit();
+        }
+
+        long low = 0;
+        long high = 0xFFFFFFFFL;
+        List<ConceptRadicals> decoded = new ArrayList<>();
+
+        for (int cIdx = 0; cIdx < numConcepts; cIdx++) {
+            int prevRC = pred.prevRC;
+            int prevRF = pred.prevRF;
+            int prevRA = pred.prevRA;
+            int[] symbols = new int[3];
+
+            for (int step = 0; step < 3; step++) {
+                long[] cumFreqs;
+                if (step == 0) {
+                    cumFreqs = pred.getCumFreqsRC(prevRC);
+                } else if (step == 1) {
+                    cumFreqs = pred.getCumFreqsRF(symbols[0], prevRF);
+                } else {
+                    cumFreqs = pred.getCumFreqsRA(symbols[0], symbols[1], prevRA);
+                }
+
+                long total = cumFreqs[256];
+                long rangeWidth = high - low + 1;
+                long scaledVal = (((value - low) + 1) * total - 1) / rangeWidth;
+
+                int sym = 0;
+                int lIdx = 0, rIdx = 255;
+                while (lIdx <= rIdx) {
+                    int mIdx = (lIdx + rIdx) / 2;
+                    if (cumFreqs[mIdx] <= scaledVal && scaledVal < cumFreqs[mIdx + 1]) {
+                        sym = mIdx;
+                        break;
+                    } else if (scaledVal >= cumFreqs[mIdx + 1]) {
+                        lIdx = mIdx + 1;
+                    } else {
+                        rIdx = mIdx - 1;
+                    }
+                }
+
+                symbols[step] = sym;
+                long cumLow = cumFreqs[sym];
+                long cumHigh = cumFreqs[sym + 1];
+
+                high = low + (rangeWidth * cumHigh) / total - 1;
+                low = low + (rangeWidth * cumLow) / total;
+
+                while (true) {
+                    if (high < 0x80000000L) {
+                        low <<= 1;
+                        high = (high << 1) | 1;
+                        value = (value << 1) | r.readBit();
+                    } else if (low >= 0x80000000L) {
+                        low = (low - 0x80000000L) << 1;
+                        high = ((high - 0x80000000L) << 1) | 1;
+                        value = ((value - 0x80000000L) << 1) | r.readBit();
+                    } else if (low >= 0x40000000L && high < 0xC0000000L) {
+                        low = (low - 0x40000000L) << 1;
+                        high = ((high - 0x40000000L) << 1) | 1;
+                        value = ((value - 0x40000000L) << 1) | r.readBit();
+                    } else {
+                        break;
+                    }
+                    low &= 0xFFFFFFFFL;
+                    high &= 0xFFFFFFFFL;
+                    value &= 0xFFFFFFFFL;
+                }
+            }
+
+            decoded.add(new ConceptRadicals(symbols[0], symbols[1], symbols[2]));
+            pred.observe(symbols[0], symbols[1], symbols[2]);
+        }
+        return decoded;
+    }
+
+    public static void main(String[] args) throws IOException {
+        System.out.println("======================================================================");
+        System.out.println("ZYMATICA | Cross-Language Java Decompressor & Range-Decoder");
+        System.out.println("======================================================================\n");
+
+        File namesFile = new File("frameworks_names.bin");
+        File coordsFile = new File("frameworks_coordinates.bin");
+
+        if (!namesFile.exists() || !coordsFile.exists()) {
+            System.err.println("[!] Error: Binary transport files not found. Run run_ultimate_pipeline.py first.");
+            System.exit(1);
+        }
+
+        // 1. Read names binary
+        byte[] namesBytes = new byte[(int) namesFile.length()];
+        try (FileInputStream fis = new FileInputStream(namesFile)) {
+            fis.read(namesBytes);
+        }
+
+        // 2. Read coordinates binary
+        byte[] coordsBytes = new byte[(int) coordsFile.length()];
+        try (FileInputStream fis = new FileInputStream(coordsFile)) {
+            fis.read(coordsBytes);
+        }
+
+        // 3. Decompress vocabulary names
+        List<String> names = decompressVocab(namesBytes, 49);
+        System.out.println("[1] Java Vocab Decompression: SUCCESS (" + names.size() + " names restored).");
+
+        // 4. Formulate expected radicals based on the same rules
+        List<ConceptRadicals> expected = new ArrayList<>();
+        for (String name : names) {
+            int domain = 1;
+            String lower = name.toLowerCase();
+            if (lower.contains("pixi") || lower.contains("phaser") || lower.contains("away") || lower.contains("p5")) {
+                domain = 2;
+            } else if (lower.contains("scenejs") || lower.contains("glam") || lower.contains("deck") || lower.contains("cesium") || lower.contains("luma") || lower.contains("philo")) {
+                domain = 7;
+            }
+            int rc = (domain << 4) | 2;
+            int rf = (1 << 4) | 2;
+            int ra = (15 << 4) | 12;
+            expected.add(new ConceptRadicals(rc, rf, ra));
+        }
+
+        // 5. Decode radicals using Yang range decoder in Java
+        List<ConceptRadicals> decoded = decode(coordsBytes, 49, 1, 128);
+        System.out.println("[2] Java Yang Range Decoder execution: SUCCESS.");
+
+        // 6. Assert exact equivalence (dynamic validation)
+        boolean match = true;
+        for (int i = 0; i < 49; i++) {
+            ConceptRadicals exp = expected.get(i);
+            ConceptRadicals dec = decoded.get(i);
+            if (exp.rc != dec.rc || exp.rf != dec.rf || exp.ra != dec.ra) {
+                System.err.println("[!] Mismatch at index " + i + " (" + names.get(i) + "): Expected RC=" + exp.rc + ", RF=" + exp.rf + ", RA=" + exp.ra + " | Decoded RC=" + dec.rc + ", RF=" + dec.rf + ", RA=" + dec.ra);
+                match = false;
+                break;
+            }
+        }
+
+        if (match) {
+            System.out.println("\n[SUCCESS] Java range-decoder verification: 100% MATCH!");
+        } else {
+            System.err.println("\n[ERROR] Java dynamic coordinate check failed!");
+            System.exit(1);
+        }
+    }
+}

frameworks_coordinates.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f4a5bf62c101bfc96ec14256a1c8d653b93e1b39e1302591579cc8eeb47e0e8e
+size 27

frameworks_metadata.json

@@ -0,0 +1,25 @@
+{
+  "frameworks_count": 49,
+  "compressed_size": 364,
+  "sha256": "cbd4e2c15b6fad2fc03eba7a71c44194b3ae052068fff32e4ba5f62cd3cf649e",
+  "packets_count": 3,
+  "svd_rank": 2,
+  "dct_coefficients": 0,
+  "singular_values": [
+    136.69415283203125,
+    13.627534866333008
+  ],
+  "u_bounds": [
+    -0.06098169460892677,
+    0.3773559033870697
+  ],
+  "vt_bounds": [
+    -0.07248440384864807,
+    0.9955768585205078
+  ],
+  "dct_bounds": [
+    0.0,
+    0.0
+  ],
+  "version": "Sumerian-U-v3"
+}

frameworks_names.bin

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+version https://git-lfs.github.com/spec/v1
+oid sha256:d245b5f5511255a23d473a6d256ffb1af122ab95c7188e9384e7fb6d7b2bc32f
+size 410

frameworks_u.bin

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+version https://git-lfs.github.com/spec/v1
+oid sha256:a48c2b338d2d3fae506d7f161c27a37ccbce0a6a231401346dd6e3e6921e9a76
+size 98

frameworks_vt.bin

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+version https://git-lfs.github.com/spec/v1
+oid sha256:c17f1f40f00c1b0001937950b48575966ccd05347c28a816390c6124365ab201
+size 12

packets/packet_00.bin

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+version https://git-lfs.github.com/spec/v1
+oid sha256:4a5a712f14cbb5a765d58ff9002d346ec7211bfb658709fe9bed60c0badb7801
+size 255

packets/packet_01.bin

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+version https://git-lfs.github.com/spec/v1
+oid sha256:8354dd6f4ddb987bd96ae4522ab441708f3aa622a6bb70c00bc83a67adc79c44
+size 255

packets/parity_packet.bin

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+version https://git-lfs.github.com/spec/v1
+oid sha256:885186746c077d06767a98110734afaa939ccd6c1e7191254e8ee26751030cc4
+size 255

run_ultimate_pipeline.py

@@ -1,851 +1,849 @@
-# ZYMATICA | Language-U Ultimate 7-Level Dynamic Execution Pipeline
-# Watermark: ip zymatica.space | astronautshe.com
-# Copyright (c) 2026 Zymatica. All rights reserved.
-
-import os
-import re
-import json
-import zlib
-import struct
-import shutil
-import hashlib
-import numpy as np
-
-# ==============================================================================
-# BASE-ORACLE VOCABULARY (Invention 05 / Level 5)
-# ==============================================================================
-BASE_ORACLE = [
-    "js", "gl", "canvas", "renderer", "engine", "webgl", "mesh", "shader", 
-    "context", "three", "light", "material", "camera", "scene", "graph", 
-    "render", "loop", "buffer", "matrix", "vector", "state", "draw", "compile", 
-    "fbo", "texture", "sprite", "batch", "physics", "device", "layer", "gis", 
-    "globe", "cad", "bim", "vr", "xr", "ar", "game", "framework", "library"
-]
-ORACLE_MAP = {word: idx for idx, word in enumerate(BASE_ORACLE)}
-
-# Generate mock 16-dimensional embedding vectors for Base-Oracle words (for EPAUP Projection)
-np.random.seed(42)
-ORACLE_EMBEDDINGS = np.random.randn(len(BASE_ORACLE), 16)
-ORACLE_EMBEDDINGS /= np.linalg.norm(ORACLE_EMBEDDINGS, axis=1, keepdims=True)
-
-def tokenize_name_to_oracle(name):
-    parts = re.findall(r'[a-zA-Z0-9]+', name.lower())
-    encoded_parts = []
-    for part in parts:
-        if part in ORACLE_MAP:
-            encoded_parts.append((True, ORACLE_MAP[part]))
-        else:
-            encoded_parts.append((False, part.encode('utf-8')))
-    return encoded_parts
-
-def decode_oracle_to_name(encoded_parts):
-    decoded_words = []
-    for is_oracle, val in encoded_parts:
-        if is_oracle:
-            decoded_words.append(BASE_ORACLE[val])
-        else:
-            decoded_words.append(val.decode('utf-8'))
-    return "".join(decoded_words)
-
-# ==============================================================================
-# YIN & YANG CUNEIFORM PRODUCTION RANGE CODER (Inventions 02, 03, 08)
-# ==============================================================================
-class SparseTransition:
-    def __init__(self, key=0, sym=0, count=0):
-        self.key = key
-        self.sym = sym
-        self.count = count
-
-class RadicalPredictor:
-    def __init__(self, alpha=1, weight=128):
-        self.alpha = alpha
-        self.weight = weight
-        self.trans_rc = []
-        self.trans_rf = []
-        self.trans_ra = []
-        self.prev_rc = 0
-        self.prev_rf = 0
-        self.prev_ra = 0
-
-    def observe(self, rc, rf, ra):
-        w = self.weight
-        key_rc = self.prev_rc
-        found = False
-        for entry in self.trans_rc:
-            if entry.key == key_rc and entry.sym == rc:
-                entry.count += w
-                found = True
-                break
-        if not found and len(self.trans_rc) < 256:
-            self.trans_rc.append(SparseTransition(key_rc, rc, w))
-
-        key_rf = (rc << 8) | self.prev_rf
-        found = False
-        for entry in self.trans_rf:
-            if entry.key == key_rf and entry.sym == rf:
-                entry.count += w
-                found = True
-                break
-        if not found and len(self.trans_rf) < 256:
-            self.trans_rf.append(SparseTransition(key_rf, rf, w))
-
-        key_ra = (rc << 16) | (rf << 8) | self.prev_ra
-        found = False
-        for entry in self.trans_ra:
-            if entry.key == key_ra and entry.sym == ra:
-                entry.count += w
-                found = True
-                break
-        if not found and len(self.trans_ra) < 256:
-            self.trans_ra.append(SparseTransition(key_ra, ra, w))
-
-        self.prev_rc = rc
-        self.prev_rf = rf
-        self.prev_ra = ra
-
-    def get_cum_freqs_rc(self, prev_rc):
-        freqs = [self.alpha] * 256
-        for entry in self.trans_rc:
-            if entry.key == prev_rc:
-                freqs[entry.sym] += entry.count
-        cum_freqs = [0] * 257
-        for i in range(256):
-            cum_freqs[i+1] = cum_freqs[i] + freqs[i]
-        return cum_freqs
-
-    def get_cum_freqs_rf(self, curr_rc, prev_rf):
-        freqs = [self.alpha] * 256
-        key = (curr_rc << 8) | prev_rf
-        for entry in self.trans_rf:
-            if entry.key == key:
-                freqs[entry.sym] += entry.count
-        cum_freqs = [0] * 257
-        for i in range(256):
-            cum_freqs[i+1] = cum_freqs[i] + freqs[i]
-        return cum_freqs
-
-    def get_cum_freqs_ra(self, curr_rc, curr_rf, prev_ra):
-        freqs = [self.alpha] * 256
-        key = (curr_rc << 16) | (curr_rf << 8) | prev_ra
-        for entry in self.trans_ra:
-            if entry.key == key:
-                freqs[entry.sym] += entry.count
-        cum_freqs = [0] * 257
-        for i in range(256):
-            cum_freqs[i+1] = cum_freqs[i] + freqs[i]
-        return cum_freqs
-
-class BitWriter:
-    def __init__(self):
-        self.buffer = bytearray()
-        self.bit_index = 0
-
-    def write_bit(self, bit):
-        byte_pos = self.bit_index // 8
-        bit_pos = 7 - (self.bit_index % 8)
-        if byte_pos >= len(self.buffer):
-            self.buffer.append(0)
-        if bit:
-            self.buffer[byte_pos] |= (1 << bit_pos)
-        else:
-            self.buffer[byte_pos] &= ~(1 << bit_pos)
-        self.bit_index += 1
-
-    def write_bit_helper(self, underflow_bits, bit):
-        self.write_bit(bit)
-        while underflow_bits[0] > 0:
-            self.write_bit(1 - bit)
-            underflow_bits[0] -= 1
-
-class BitReader:
-    def __init__(self, data):
-        self.data = data
-        self.bit_index = 0
-        self.total_bits = len(data) * 8
-
-    def read_bit(self):
-        if self.bit_index >= self.total_bits:
-            return 0
-        byte_pos = self.bit_index // 8
-        bit_pos = 7 - (self.bit_index % 8)
-        bit = (self.data[byte_pos] >> bit_pos) & 1
-        self.bit_index += 1
-        return bit
-
-def yang_range_encode(radicals, alpha=1, weight=128):
-    pred = RadicalPredictor(alpha, weight)
-    w = BitWriter()
-    low = 0
-    high = 0xFFFFFFFF
-    underflow_bits = [0]
-
-    for rc, rf, ra in radicals:
-        symbols = [rc, rf, ra]
-        prev_rc = pred.prev_rc
-        prev_rf = pred.prev_rf
-        prev_ra = pred.prev_ra
-
-        for step in range(3):
-            if step == 0:
-                cum_freqs = pred.get_cum_freqs_rc(prev_rc)
-            elif step == 1:
-                cum_freqs = pred.get_cum_freqs_rf(symbols[0], prev_rf)
-            else:
-                cum_freqs = pred.get_cum_freqs_ra(symbols[0], symbols[1], prev_ra)
-
-            sym = symbols[step]
-            total = cum_freqs[256]
-            cum_low = cum_freqs[sym]
-            cum_high = cum_freqs[sym + 1]
-
-            range_width = high - low + 1
-            high = low + (range_width * cum_high) // total - 1
-            low = low + (range_width * cum_low) // total
-
-            while True:
-                if high < 0x80000000:
-                    w.write_bit_helper(underflow_bits, 0)
-                    low <<= 1
-                    high = (high << 1) | 1
-                elif low >= 0x80000000:
-                    w.write_bit_helper(underflow_bits, 1)
-                    low = (low - 0x80000000) << 1
-                    high = ((high - 0x80000000) << 1) | 1
-                elif low >= 0x40000000 and high < 0xC0000000:
-                    underflow_bits[0] += 1
-                    low = (low - 0x40000000) << 1
-                    high = ((high - 0x40000000) << 1) | 1
-                else:
-                    break
-                low &= 0xFFFFFFFF
-                high &= 0xFFFFFFFF
-
-        pred.observe(rc, rf, ra)
-
-    underflow_bits[0] += 1
-    if low < 0x40000000:
-        w.write_bit_helper(underflow_bits, 0)
-    else:
-        w.write_bit_helper(underflow_bits, 1)
-
-    return w.buffer, w.bit_index
-
-def yang_range_decode(encoded_bytes, num_radicals, alpha=1, weight=128):
-    pred = RadicalPredictor(alpha, weight)
-    r = BitReader(encoded_bytes)
-    value = 0
-    for _ in range(32):
-        value = (value << 1) | r.read_bit()
-
-    low = 0
-    high = 0xFFFFFFFF
-    decoded_radicals = []
-
-    for _ in range(num_radicals):
-        prev_rc = pred.prev_rc
-        prev_rf = pred.prev_rf
-        prev_ra = pred.prev_ra
-        symbols = [0, 0, 0]
-
-        for step in range(3):
-            if step == 0:
-                cum_freqs = pred.get_cum_freqs_rc(prev_rc)
-            elif step == 1:
-                cum_freqs = pred.get_cum_freqs_rf(symbols[0], prev_rf)
-            else:
-                cum_freqs = pred.get_cum_freqs_ra(symbols[0], symbols[1], prev_ra)
-
-            total = cum_freqs[256]
-            range_width = high - low + 1
-            scaled_val = ((value - low + 1) * total - 1) // range_width
-
-            sym = 0
-            l_idx, r_idx = 0, 255
-            while l_idx <= r_idx:
-                m_idx = (l_idx + r_idx) // 2
-                if cum_freqs[m_idx] <= scaled_val < cum_freqs[m_idx + 1]:
-                    sym = m_idx
-                    break
-                elif scaled_val >= cum_freqs[m_idx + 1]:
-                    l_idx = m_idx + 1
-                else:
-                    r_idx = m_idx - 1
-
-            symbols[step] = sym
-            cum_low = cum_freqs[sym]
-            cum_high = cum_freqs[sym + 1]
-
-            high = low + (range_width * cum_high) // total - 1
-            low = low + (range_width * cum_low) // total
-
-            while True:
-                if high < 0x80000000:
-                    low <<= 1
-                    high = (high << 1) | 1
-                    value = (value << 1) | r.read_bit()
-                elif low >= 0x80000000:
-                    low = (low - 0x80000000) << 1
-                    high = ((high - 0x80000000) << 1) | 1
-                    value = ((value - 0x80000000) << 1) | r.read_bit()
-                elif low >= 0x40000000 and high < 0xC0000000:
-                    low = (low - 0x40000000) << 1
-                    high = ((high - 0x40000000) << 1) | 1
-                    value = ((value - 0x40000000) << 1) | r.read_bit()
-                else:
-                    break
-                low &= 0xFFFFFFFF
-                high &= 0xFFFFFFFF
-                value &= 0xFFFFFFFF
-
-        decoded_radicals.append((symbols[0], symbols[1], symbols[2]))
-        pred.observe(symbols[0], symbols[1], symbols[2])
-
-    return decoded_radicals
-
-# ==============================================================================
-# VOCAB COMPRESSOR & DECOMPRESSOR (Invention 10)
-# ==============================================================================
-def write_varint(val):
-    res = bytearray()
-    while val >= 128:
-        res.append((val & 0x7F) | 0x80)
-        val >>= 7
-    res.append(val & 0x7F)
-    return bytes(res)
-
-def read_varint(data, pos):
-    val = 0
-    shift = 0
-    while True:
-        if pos >= len(data):
-            break
-        b = data[pos]
-        pos += 1
-        val |= (b & 0x7F) << shift
-        if not (b & 0x80):
-            break
-        shift += 7
-    return val, pos
-
-def compress_vocab(tokens):
-    encoded = bytearray()
-    prev = b""
-    for t in tokens:
-        common = 0
-        l = min(len(t), len(prev))
-        while common < l and t[common] == prev[common]:
-            common += 1
-        suffix = t[common:]
-        encoded.extend(write_varint(common))
-        encoded.extend(write_varint(len(suffix)))
-        encoded.extend(suffix)
-        prev = t
-    return bytes(encoded)
-
-def decompress_vocab(data, num_tokens):
-    tokens = []
-    pos = 0
-    prev = b""
-    for _ in range(num_tokens):
-        if pos >= len(data):
-            break
-        common, pos = read_varint(data, pos)
-        suffix_len, pos = read_varint(data, pos)
-        suffix = data[pos : pos + suffix_len]
-        pos += suffix_len
-        
-        t = prev[:common] + suffix
-        tokens.append(t)
-        prev = t
-    return tokens
-
-# ==============================================================================
-# PURE NUMPY DCT / IDCT (Invention 07)
-# ==============================================================================
-def dct_1d(x):
-    N = len(x)
-    X = np.zeros(N)
-    for k in range(N):
-        val = 0
-        for n in range(N):
-            val += x[n] * np.cos(np.pi / N * (n + 0.5) * k)
-        X[k] = val
-    return X
-
-def idct_1d(X):
-    N = len(X)
-    x = np.zeros(N)
-    for n in range(N):
-        val = X[0] / N
-        for k in range(1, N):
-            val += (2.0 / N) * X[k] * np.cos(np.pi / N * (n + 0.5) * k)
-        x[n] = val
-    return x
-
-def dct_2d(matrix):
-    return np.array([dct_1d(row) for row in matrix])
-
-def idct_2d(matrix):
-    return np.array([idct_1d(row) for row in matrix])
-
-def quantize_matrix(M, min_val, max_val):
-    if np.abs(max_val - min_val) < 1e-7:
-        return np.zeros_like(M, dtype=np.uint8)
-    M_clipped = np.clip(M, min_val, max_val)
-    M_scaled = (M_clipped - min_val) / (max_val - min_val) * 255.0
-    return np.round(M_scaled).astype(np.uint8)
-
-def dequantize_matrix(M_quant, min_val, max_val):
-    return M_quant.astype(np.float32) / 255.0 * (max_val - min_val) + min_val
-
-# ==============================================================================
-# DYNAMIC XOR-FEC PACKETIZATION (Level 7 / Invention 06)
-# ==============================================================================
-SYNC_MARKER = 0xBB
-PKT_SIZE = 255
-TRANSPORT_HDR = 3
-DATA_PER_PKT = PKT_SIZE - TRANSPORT_HDR
-
-def xor_fec_parity(data_packets):
-    parity = bytearray(DATA_PER_PKT)
-    for pkt in data_packets:
-        data_part = pkt[TRANSPORT_HDR:]
-        for idx in range(min(len(data_part), DATA_PER_PKT)):
-            parity[idx] ^= data_part[idx]
-    return bytes(parity)
-
-def pack_payload(payload_bytes, num_data_packets):
-    total_capacity = num_data_packets * DATA_PER_PKT
-    if len(payload_bytes) < total_capacity:
-        payload_bytes = payload_bytes.ljust(total_capacity, b'\x00')
-    elif len(payload_bytes) > total_capacity:
-        payload_bytes = payload_bytes[:total_capacity]
-        
-    data_packets = []
-    total_packets = num_data_packets + 1
-    
-    for idx in range(num_data_packets):
-        chunk = payload_bytes[idx * DATA_PER_PKT : (idx + 1) * DATA_PER_PKT]
-        header = bytes([SYNC_MARKER, idx, total_packets])
-        data_packets.append(header + chunk)
-        
-    # Generate XOR parity packet
-    parity_data = xor_fec_parity(data_packets)
-    parity_header = bytes([SYNC_MARKER, num_data_packets, total_packets])
-    parity_packet = parity_header + parity_data
-    
-    return data_packets + [parity_packet]
-
-# ==============================================================================
-# PIPELINE EXECUTION GATE CHECKER
-# ==============================================================================
-def run_ultimate_pipeline():
-    print("=" * 80)
-    print("  ZYMATICA | Language-U Ultimate 7-Level Dynamic Execution Pipeline")
-    print("  Watermark: ip zymatica.space | astronautshe.com")
-    print("=" * 80)
-
-    # --------------------------------------------------------------------------
-    # LEVEL 1: RAW INGESTION & STRUCTURAL UPGRADE GATE
-    # --------------------------------------------------------------------------
-    print("\n[Level 1: Raw Ingestion & Improvement Gate] Loading and Upgrading 49 WebGL Frameworks...")
-    db_path = os.path.join(os.path.dirname(os.path.abspath(__file__)), "frameworks_db.json")
-    if not os.path.exists(db_path):
-        db_path = "frameworks_db.json"
-    if not os.path.exists(db_path):
-        print(f"[!] Error: {db_path} not found.")
-        return
-
-    with open(db_path, "r", encoding="utf-8") as f:
-        frameworks = json.load(f)
-
-    # Dynamically find the best way to improve each of the 49 frameworks:
-    # 1. Promote WebGL 1.0 or Canvas wrappers to WebGL 2.0 & WebGPU (Modality upgrade)
-    # 2. Re-architect legacy scene graphs to Entity Component System (ECS) with state caching (Subdomain upgrade)
-    # 3. Integrate state caches and sprite batching (Operation upgrade)
-    # 4. Integrate native glTF 2.0 loaders and modular assets converters (Ease of Use/Depth upgrade)
-    # 5. Unlock low-level GPU buffer mappings, shaders compile buffers and pipeline keys (Control/Polarity upgrade)
-    # 6. Raise 2D and 3D performance parameters to Outstanding.
-    upgraded_frameworks = []
-    for fw in frameworks:
-        name = fw["name"]
-        orig_attrs = fw["attributes"]
-        up_attrs = dict(orig_attrs)
-        
-        # Apply structural improvements
-        dim = orig_attrs.get("Primary Dimension", "")
-        if "webgl" in dim.lower() or "2d" in dim.lower() or "n/a" in dim.lower():
-            up_attrs["Primary Dimension"] = "3D & WebGPU accelerated"
-            
-        philo = orig_attrs.get("Philosophy", "")
-        if "monolithic" in philo.lower() or "legacy" in philo.lower() or "unix" in philo.lower():
-            up_attrs["Philosophy"] = "High-Performance Modular ECS Design"
-            
-        rendering = orig_attrs.get("Rendering Model", "")
-        if "scene graph" in rendering.lower() or "raw" in rendering.lower() or "direct" in rendering.lower() or "n/a" in rendering.lower():
-            up_attrs["Rendering Model"] = "Entity Component System (ECS) with State Cache"
-            
-        ease = orig_attrs.get("Ease of Use", "")
-        if "low" in ease.lower() or "medium" in ease.lower():
-            up_attrs["Ease of Use"] = "High (upgraded with unified glTF loader & parameters)"
-            
-        ctrl = orig_attrs.get("Control Level", "")
-        if "medium" in ctrl.lower() or "low" in ctrl.lower():
-            up_attrs["Control Level"] = "High (unlocked GPU context buffers)"
-            
-        perf2d = orig_attrs.get("Performance (2D)", "")
-        if "low" in perf2d.lower() or "moderate" in perf2d.lower() or "n/a" in perf2d.lower():
-            up_attrs["Performance (2D)"] = "High (sprite-batch optimized)"
-            
-        perf3d = orig_attrs.get("Performance (3D)", "")
-        if "low" in perf3d.lower() or "moderate" in perf3d.lower() or "n/a" in perf3d.lower():
-            up_attrs["Performance (3D)"] = "Outstanding (WebGPU/WebGL2 state cached)"
-            
-        imp = orig_attrs.get("Importing Models", "")
-        if "manual" in imp.lower() or "n/a" in imp.lower():
-            up_attrs["Importing Models"] = "Out-of-the-box (glTF 2.0 native)"
-
-        # Upgraded coordinates representing the improved states
-        domain = 1
-        if any(k in name.lower() for k in ["pixi", "phaser", "away", "p5"]):
-            domain = 2
-        elif any(k in name.lower() for k in ["scenejs", "glam", "deck", "cesium", "luma", "philo"]):
-            domain = 7
-            
-        up_fw = {
-            "name": name,
-            "url": fw["url"],
-            "attributes": up_attrs,
-            "coordinates": {
-                "domain": domain,
-                "subdomain": 2,    # ECS (upgraded)
-                "operation": 1,    # State Caching (upgraded)
-                "modality": 2,     # WebGL 2 & WebGPU (upgraded)
-                "depth": 15,       # Ease of Use: Very High (upgraded)
-                "polarity": 12     # Control: High (upgraded)
-            }
-        }
-        
-        # Pack coordinates into 3-byte radicals
-        rc = (domain << 4) | 2
-        rf = (1 << 4) | 2
-        ra = (15 << 4) | 12
-        
-        up_fw["radicals"] = {
-            "rc": rc,
-            "rf": rf,
-            "ra": ra
-        }
-        
-        upgraded_frameworks.append(up_fw)
-
-    # Sort upgraded_frameworks lexicographically by name to align index mapping
-    upgraded_frameworks.sort(key=lambda x: x["name"])
-
-    assert len(upgraded_frameworks) == 49, "Upgraded framework count mismatch!"
-    for fw in upgraded_frameworks:
-        assert len(fw["name"]) > 0, "Framework name is empty!"
-        assert len(fw["attributes"]) == 9, "Framework attributes count mismatch!"
-    print("  [+] LEVEL 1 PASS: Ingested and upgraded all 49 frameworks successfully.")
-
-    # --------------------------------------------------------------------------
-    # LEVEL 2: STRUCTURED EXTRACTION GATE
-    # --------------------------------------------------------------------------
-    print("\n[Level 2: Structured Gate] Verifying JSON serialization of upgraded configurations...")
-    json_bytes = json.dumps(upgraded_frameworks, indent=2).encode('utf-8')
-    assert len(json_bytes) > 0, "JSON serialization is empty!"
-    print(f"  - Structured JSON size: {len(json_bytes):,} bytes")
-    print("  [+] LEVEL 2 PASS: Upgraded database verified as structured JSON schema.")
-
-    # --------------------------------------------------------------------------
-    # LEVEL 3: YIN HYPERCUBE MAPPING GATE (SVD, Ridge, DCT, Normalization)
-    # --------------------------------------------------------------------------
-    print("\n[Level 3: Yin Mapping Gate] Packing 6D coordinates, applying SVD-DCT + Ridge math...")
-    raw_coords = []
-    radicals_list = []
-    for fw in upgraded_frameworks:
-        coords = fw["coordinates"]
-        raw_coords.append([coords["domain"], coords["subdomain"], coords["operation"], coords["modality"], coords["depth"], coords["polarity"]])
-        rads = fw["radicals"]
-        radicals_list.append((rads["rc"], rads["rf"], rads["ra"]))
-        
-    coords_matrix = np.array(raw_coords, dtype=np.float32)
-    
-    # Invention 21: Cuneiform Normalization Scalar (normalize coordinates to [0, 255])
-    normalized_coords = coords_matrix / 15.0
-    scaled_coords = normalized_coords * 255.0
-    print(f"  - Matrix shape: {coords_matrix.shape} (49 frameworks x 6 coordinates)")
-    print(f"  - Coordinates Normalized & Scaled Checksum: {hashlib.sha256(scaled_coords.tobytes()).hexdigest()[:12]}")
-    
-    # Truncated SVD, Ridge Regression and DCT Spectral compression dynamic loop
-    print("  - Searching for optimal low-rank projection parameters with zero coordinate drift...")
-    optimal_config = None
-    for rank in [2, 3, 4, 5, 6]:
-        for coeffs in [0, 1, 2, 3, 4, 5, 6]:
-            U, S, Vt = np.linalg.svd(coords_matrix, full_matrices=False)
-            
-            U_trunc = U[:, :rank]
-            S_trunc = S[:rank]
-            Vt_trunc = Vt[:rank, :]
-            
-            coords_low_rank = np.dot(U_trunc * S_trunc, Vt_trunc)
-            residuals = coords_matrix - coords_low_rank
-            
-            # Invention 25: Activation-Aware SVD Residual Holders (Ridge regression on SVD residuals)
-            X = coords_low_rank
-            Y = residuals
-            alpha = 1.0 # L2 Regularization parameter
-            W_ridge = np.dot(np.linalg.inv(np.dot(X.T, X) + alpha * np.eye(X.shape[1])), np.dot(X.T, Y))
-            predicted_residuals = np.dot(X, W_ridge)
-            
-            # Spectral Energy Packing on remaining error (DCT)
-            remaining_error = residuals - predicted_residuals
-            dct_error = dct_2d(remaining_error)
-            
-            dct_error_truncated = dct_error.copy()
-            dct_error_truncated[:, coeffs:] = 0
-            
-            # Quantize U, Vt and DCT coefficients into uint8 for transport
-            U_min, U_max = float(U_trunc.min()), float(U_trunc.max())
-            Vt_min, Vt_max = float(Vt_trunc.min()), float(Vt_trunc.max())
-            if coeffs > 0:
-                dct_min, dct_max = float(dct_error_truncated[:, :coeffs].min()), float(dct_error_truncated[:, :coeffs].max())
-            else:
-                dct_min, dct_max = 0.0, 0.0
-            
-            quant_U = quantize_matrix(U_trunc, U_min, U_max)
-            quant_Vt = quantize_matrix(Vt_trunc, Vt_min, Vt_max)
-            quant_dct = quantize_matrix(dct_error_truncated[:, :coeffs], dct_min, dct_max)
-            
-            # Reconstruction check on receiver-side
-            U_dequant = dequantize_matrix(quant_U, U_min, U_max)
-            Vt_dequant = dequantize_matrix(quant_Vt, Vt_min, Vt_max)
-            dct_dequant = np.zeros_like(dct_error)
-            dct_dequant[:, :coeffs] = dequantize_matrix(quant_dct, dct_min, dct_max)
-            
-            coords_low_rank_rec = np.dot(U_dequant * S_trunc, Vt_dequant)
-            predicted_residuals_rec = np.dot(coords_low_rank_rec, W_ridge)
-            recovered_remaining_error_rec = idct_2d(dct_dequant)
-            recovered_residuals_rec = predicted_residuals_rec + recovered_remaining_error_rec
-            recovered_coords_rec = coords_low_rank_rec + recovered_residuals_rec
-            
-            rounded_coords = np.round(recovered_coords_rec)
-            
-            if np.array_equal(rounded_coords, coords_matrix):
-                optimal_config = {
-                    "rank": rank,
-                    "coeffs": coeffs,
-                    "quant_U": quant_U,
-                    "quant_Vt": quant_Vt,
-                    "quant_dct": quant_dct,
-                    "S": S_trunc,
-                    "W_ridge": W_ridge,
-                    "U_bounds": (U_min, U_max),
-                    "Vt_bounds": (Vt_min, Vt_max),
-                    "dct_bounds": (dct_min, dct_max)
-                }
-                break
-        if optimal_config is not None:
-            break
-            
-    assert optimal_config is not None, "Failed to find optimal lossless SVD-DCT coordinates configuration!"
-    print(f"  - Math check: SVD Rank {optimal_config['rank']} + DCT {optimal_config['coeffs']} coeffs achieves perfect round-trip reconstruction.")
-    print("  - Mean Residual Reconstruction Error (pre-healing): 0.000000 MSE.")
-    
-    # --------------------------------------------------------------------------
-    # LEVEL 3 DETAILED VERIFICATION LOOP
-    # --------------------------------------------------------------------------
-    # Unpack verification loop to verify coordinate ranges
-    for idx, (rc, rf, ra) in enumerate(radicals_list):
-        orig_coords = upgraded_frameworks[idx]["coordinates"]
-        domain = rc >> 4
-        subdomain = rc & 0xF
-        operation = rf >> 4
-        modality = rf & 0xF
-        depth = ra >> 4
-        polarity = ra & 0xF
-        
-        assert domain == orig_coords["domain"], f"Domain mismatch at index {idx}!"
-        assert subdomain == orig_coords["subdomain"], f"Subdomain mismatch at index {idx}!"
-        assert operation == orig_coords["operation"], f"Operation mismatch at index {idx}!"
-        assert modality == orig_coords["modality"], f"Modality mismatch at index {idx}!"
-        assert depth == orig_coords["depth"], f"Depth mismatch at index {idx}!"
-        assert polarity == orig_coords["polarity"], f"Polarity mismatch at index {idx}!"
-        
-    print("  [+] LEVEL 3 PASS: Yin hypercube mapping & coordinate decompression verified losslessly.")
-
-    # --------------------------------------------------------------------------
-    # LEVEL 4: PREFIX-SUFFIX sorted Tokenizer Coder Gate
-    # --------------------------------------------------------------------------
-    print("\n[Level 4: Tokenizer Gate] Encoding sorted framework names prefix-suffix coder...")
-    names_sorted = sorted([fw["name"] for fw in upgraded_frameworks])
-    names_bytes = [n.encode('utf-8') for n in names_sorted]
-    compressed_names = compress_vocab(names_bytes)
-    
-    # Decompress and verify
-    restored_names_bytes = decompress_vocab(compressed_names, len(names_sorted))
-    restored_names = [n.decode('utf-8') for n in restored_names_bytes]
-    assert names_sorted == restored_names, "Level 4 prefix-suffix vocab mismatch!"
-    print(f"  - Vocab items: {len(names_sorted)} names")
-    print(f"  - Original size: {sum(len(n) for n in names_sorted)} bytes | Level 4 size: {len(compressed_names)} bytes")
-    print("  [+] LEVEL 4 PASS: Sorted vocab prefix-suffix tokenizer encoding validated losslessly.")
-
-    # --------------------------------------------------------------------------
-    # LEVEL 5: ORACLE REFERENCE DELTAS GATE
-    # --------------------------------------------------------------------------
-    print("\n[Level 5: Oracle Deltas Gate] Aligning words against WebGL Base-Oracle...")
-    oracle_count = 0
-    total_tokens = 0
-    for name in names_sorted:
-        tokens = tokenize_name_to_oracle(name)
-        total_tokens += len(tokens)
-        for is_oracle, val in tokens:
-            if is_oracle:
-                oracle_count += 1
-                
-    oracle_ratio = (oracle_count / total_tokens) * 100
-    print(f"  - Total words parsed in names: {total_tokens}")
-    print(f"  - Pre-shared Oracle matches:    {oracle_count} ({oracle_ratio:.2f}%)")
-    
-    # EPAUP projection validation
-    projection_weights = np.dot(coords_matrix[:40, :].T, ORACLE_EMBEDDINGS) # 6x16
-    projected_centroids = np.dot(coords_matrix, projection_weights) # 49x16
-    assert projected_centroids.shape == (49, 16), "EPAUP projection shape mismatch!"
-    print("  [+] LEVEL 5 PASS: Base-Oracle reference alignment and E-PAUP projections verified.")
-
-    # --------------------------------------------------------------------------
-    # LEVEL 6: YANG RANGE CODER & DEFLATE GATE
-    # --------------------------------------------------------------------------
-    print("\n[Level 6: Yang Range Coder Gate] Executing Cuneiform-U Production Range Coder...")
-    bitstream, bit_count = yang_range_encode(radicals_list, alpha=1, weight=128)
-    print(f"  - Yang Range Coder bitstream size: {bit_count} bits ({len(bitstream)} bytes)")
-    
-    # Verify range decode
-    decoded_radicals = yang_range_decode(bitstream, len(radicals_list), alpha=1, weight=128)
-    assert radicals_list == decoded_radicals, "Yang Range Decoder mismatch!"
-    print("  - Yang coordinate range decoding output matches original radicals 100% losslessly.")
-
-    # Apply zlib level 9 compression to complete Level 6 deflate
-    magic_header = b'LUB'
-    header = struct.pack(">3sB H", magic_header, len(upgraded_frameworks), len(compressed_names))
-    transport_payload = header + compressed_names + bytes(bitstream)
-    final_seed = zlib.compress(transport_payload, level=9)
-    print(f"  - Level 6 deflated capsule (.LLM seed): {len(final_seed)} bytes")
-    print("  [+] LEVEL 6 PASS: Yang range coder and Deflate gates validated losslessly.")
-
-    # --------------------------------------------------------------------------
-    # LEVEL 7: XOR-FEC CHIRP PACKETIZATION GATE & CHANNEL HEALING
-    # --------------------------------------------------------------------------
-    print("\n[Level 7: Packetization Gate] Generating XOR-FEC radio packets...")
-    num_data_packets = (len(final_seed) + DATA_PER_PKT - 1) // DATA_PER_PKT
-    packets = pack_payload(final_seed, num_data_packets)
-    print(f"  - Split payload into {num_data_packets} data packets + 1 XOR parity packet.")
-    
-    # Packet loss simulation: Drop Packet 0
-    print("  - [Simulated Channel] Dropping Packet 0 during transmission...")
-    received_packets = [p for i, p in enumerate(packets) if i != 0]
-    
-    # Reconstruct Packet 0 using XOR parity equation
-    print("  - [XOR-FEC Healing] Reconstructing Packet 0 using XOR parity equation...")
-    healed_data = bytearray(DATA_PER_PKT)
-    for p in received_packets:
-        data_part = p[TRANSPORT_HDR:]
-        for idx in range(DATA_PER_PKT):
-            healed_data[idx] ^= data_part[idx]
-            
-    recovered_packet = bytes([SYNC_MARKER, 0, num_data_packets + 1]) + bytes(healed_data)
-    assert recovered_packet == packets[0], "XOR-FEC recovery failed! Parity mismatch."
-    print("  - Recovered packet matches original packet 100% losslessly.")
-    
-    # Reassemble payload
-    healed_packets = received_packets + [recovered_packet]
-    healed_packets.sort(key=lambda x: x[1])
-    
-    assembled_payload = bytearray()
-    for idx in range(num_data_packets):
-        assembled_payload.extend(healed_packets[idx][TRANSPORT_HDR:])
-    assembled_payload = bytes(assembled_payload[:len(final_seed)])
-    
-    # Decompress final payload
-    decompressed = zlib.decompress(assembled_payload)
-    
-    # Parse header
-    magic, num_fws, names_len = struct.unpack(">3sB H", decompressed[:6])
-    assert magic == b'LUB', "Magic header mismatch!"
-    
-    pos = 6
-    decompressed_names = decompressed[pos : pos + names_len]
-    pos += names_len
-    decompressed_bitstream = decompressed[pos:]
-    
-    # Decode names and coordinates
-    restored_names = [n.decode('utf-8') for n in decompress_vocab(decompressed_names, num_fws)]
-    restored_radicals = yang_range_decode(decompressed_bitstream, num_fws, alpha=1, weight=128)
-    
-    assert restored_names == names_sorted, "Decompressed names mismatch!"
-    assert restored_radicals == radicals_list, "Decompressed radicals mismatch!"
-    
-    print("  - Verification complete: Names & coordinates fully restored after XOR packet loss healing.")
-    print("  [+] LEVEL 7 PASS: XOR-FEC packetization and reassembly gates validated losslessly.")
-
-    # --------------------------------------------------------------------------
-    # COMPILING OUTPUT TRANSPORT BINARIES (Delete browser UI, save clean assets)
-    # --------------------------------------------------------------------------
-    print("\n[Output] Saving clean binary transport assets inside Language-U-Browser/...")
-    target_dir = r"c:\Users\DannyB\Desktop\Cool-Grphics\Language-U-Browser"
-    if os.path.exists(target_dir):
-        shutil.rmtree(target_dir)
-    os.makedirs(target_dir)
-    
-    # 1. Save deflated seed .LLM capsule
-    with open(os.path.join(target_dir, "Language-U-Browser.LLM"), "wb") as f:
-        f.write(final_seed)
-        
-    # 2. Save metadata JSON
-    meta_db = {
-        "frameworks_count": len(upgraded_frameworks),
-        "compressed_size": len(final_seed),
-        "sha256": hashlib.sha256(final_seed).hexdigest(),
-        "packets_count": len(packets),
-        "svd_rank": optimal_config["rank"],
-        "dct_coefficients": optimal_config["coeffs"],
-        "singular_values": optimal_config["S"].tolist(),
-        "u_bounds": optimal_config["U_bounds"],
-        "vt_bounds": optimal_config["Vt_bounds"],
-        "dct_bounds": optimal_config["dct_bounds"],
-        "version": "Sumerian-U-v3"
-    }
-    with open(os.path.join(target_dir, "frameworks_metadata.json"), "w") as f:
-        json.dump(meta_db, f, indent=2)
-        
-    # 3. Save SVD and DCT component binaries
-    with open(os.path.join(target_dir, "frameworks_u.bin"), "wb") as f: 
-        f.write(optimal_config["quant_U"].tobytes())
-    with open(os.path.join(target_dir, "frameworks_vt.bin"), "wb") as f: 
-        f.write(optimal_config["quant_Vt"].tobytes())
-    with open(os.path.join(target_dir, "frameworks_dct.bin"), "wb") as f: 
-        f.write(optimal_config["quant_dct"].tobytes())
-    with open(os.path.join(target_dir, "frameworks_names.bin"), "wb") as f: 
-        f.write(compressed_names)
-    with open(os.path.join(target_dir, "frameworks_coordinates.bin"), "wb") as f: 
-        f.write(bytes(bitstream))
-        
-    # 4. Save packets
-    packets_dir = os.path.join(target_dir, "packets")
-    os.makedirs(packets_dir)
-    for idx, pkt in enumerate(packets):
-        is_parity = idx == len(packets) - 1
-        name = "parity_packet.bin" if is_parity else f"packet_{idx:02d}.bin"
-        with open(os.path.join(packets_dir, name), "wb") as f:
-            f.write(pkt)
-            
-    print("  - Saved packets binary files successfully.")
-    print("  - Output directory verified: no browser UI files (HTML/CSS/JS) remain.")
-    
-    print("\n" + "=" * 80)
-    print("  [SUCCESS] ULTIMATE DYNAMIC EXECUTION PIPELINE VERIFIED SUCCESSFULLY!")
-    print("  All 49 upgraded WebGL frameworks compressed & restored with perfect math. [OK]")
-    print("=" * 80)
-
-if __name__ == "__main__":
-    run_ultimate_pipeline()
+# ZYMATICA | Language-U Ultimate 7-Level Dynamic Execution Pipeline
+# Watermark: ip zymatica.space | astronautshe.com
+# Copyright (c) 2026 Zymatica. All rights reserved.
+
+import os
+import re
+import json
+import zlib
+import struct
+import shutil
+import hashlib
+import numpy as np
+
+# ==============================================================================
+# BASE-ORACLE VOCABULARY (Invention 05 / Level 5)
+# ==============================================================================
+BASE_ORACLE = [
+    "js", "gl", "canvas", "renderer", "engine", "webgl", "mesh", "shader", 
+    "context", "three", "light", "material", "camera", "scene", "graph", 
+    "render", "loop", "buffer", "matrix", "vector", "state", "draw", "compile", 
+    "fbo", "texture", "sprite", "batch", "physics", "device", "layer", "gis", 
+    "globe", "cad", "bim", "vr", "xr", "ar", "game", "framework", "library"
+]
+ORACLE_MAP = {word: idx for idx, word in enumerate(BASE_ORACLE)}
+
+# Generate mock 16-dimensional embedding vectors for Base-Oracle words (for EPAUP Projection)
+np.random.seed(42)
+ORACLE_EMBEDDINGS = np.random.randn(len(BASE_ORACLE), 16)
+ORACLE_EMBEDDINGS /= np.linalg.norm(ORACLE_EMBEDDINGS, axis=1, keepdims=True)
+
+def tokenize_name_to_oracle(name):
+    parts = re.findall(r'[a-zA-Z0-9]+', name.lower())
+    encoded_parts = []
+    for part in parts:
+        if part in ORACLE_MAP:
+            encoded_parts.append((True, ORACLE_MAP[part]))
+        else:
+            encoded_parts.append((False, part.encode('utf-8')))
+    return encoded_parts
+
+def decode_oracle_to_name(encoded_parts):
+    decoded_words = []
+    for is_oracle, val in encoded_parts:
+        if is_oracle:
+            decoded_words.append(BASE_ORACLE[val])
+        else:
+            decoded_words.append(val.decode('utf-8'))
+    return "".join(decoded_words)
+
+# ==============================================================================
+# YIN & YANG CUNEIFORM PRODUCTION RANGE CODER (Inventions 02, 03, 08)
+# ==============================================================================
+class SparseTransition:
+    def __init__(self, key=0, sym=0, count=0):
+        self.key = key
+        self.sym = sym
+        self.count = count
+
+class RadicalPredictor:
+    def __init__(self, alpha=1, weight=128):
+        self.alpha = alpha
+        self.weight = weight
+        self.trans_rc = []
+        self.trans_rf = []
+        self.trans_ra = []
+        self.prev_rc = 0
+        self.prev_rf = 0
+        self.prev_ra = 0
+
+    def observe(self, rc, rf, ra):
+        w = self.weight
+        key_rc = self.prev_rc
+        found = False
+        for entry in self.trans_rc:
+            if entry.key == key_rc and entry.sym == rc:
+                entry.count += w
+                found = True
+                break
+        if not found and len(self.trans_rc) < 256:
+            self.trans_rc.append(SparseTransition(key_rc, rc, w))
+
+        key_rf = (rc << 8) | self.prev_rf
+        found = False
+        for entry in self.trans_rf:
+            if entry.key == key_rf and entry.sym == rf:
+                entry.count += w
+                found = True
+                break
+        if not found and len(self.trans_rf) < 256:
+            self.trans_rf.append(SparseTransition(key_rf, rf, w))
+
+        key_ra = (rc << 16) | (rf << 8) | self.prev_ra
+        found = False
+        for entry in self.trans_ra:
+            if entry.key == key_ra and entry.sym == ra:
+                entry.count += w
+                found = True
+                break
+        if not found and len(self.trans_ra) < 256:
+            self.trans_ra.append(SparseTransition(key_ra, ra, w))
+
+        self.prev_rc = rc
+        self.prev_rf = rf
+        self.prev_ra = ra
+
+    def get_cum_freqs_rc(self, prev_rc):
+        freqs = [self.alpha] * 256
+        for entry in self.trans_rc:
+            if entry.key == prev_rc:
+                freqs[entry.sym] += entry.count
+        cum_freqs = [0] * 257
+        for i in range(256):
+            cum_freqs[i+1] = cum_freqs[i] + freqs[i]
+        return cum_freqs
+
+    def get_cum_freqs_rf(self, curr_rc, prev_rf):
+        freqs = [self.alpha] * 256
+        key = (curr_rc << 8) | prev_rf
+        for entry in self.trans_rf:
+            if entry.key == key:
+                freqs[entry.sym] += entry.count
+        cum_freqs = [0] * 257
+        for i in range(256):
+            cum_freqs[i+1] = cum_freqs[i] + freqs[i]
+        return cum_freqs
+
+    def get_cum_freqs_ra(self, curr_rc, curr_rf, prev_ra):
+        freqs = [self.alpha] * 256
+        key = (curr_rc << 16) | (curr_rf << 8) | prev_ra
+        for entry in self.trans_ra:
+            if entry.key == key:
+                freqs[entry.sym] += entry.count
+        cum_freqs = [0] * 257
+        for i in range(256):
+            cum_freqs[i+1] = cum_freqs[i] + freqs[i]
+        return cum_freqs
+
+class BitWriter:
+    def __init__(self):
+        self.buffer = bytearray()
+        self.bit_index = 0
+
+    def write_bit(self, bit):
+        byte_pos = self.bit_index // 8
+        bit_pos = 7 - (self.bit_index % 8)
+        if byte_pos >= len(self.buffer):
+            self.buffer.append(0)
+        if bit:
+            self.buffer[byte_pos] |= (1 << bit_pos)
+        else:
+            self.buffer[byte_pos] &= ~(1 << bit_pos)
+        self.bit_index += 1
+
+    def write_bit_helper(self, underflow_bits, bit):
+        self.write_bit(bit)
+        while underflow_bits[0] > 0:
+            self.write_bit(1 - bit)
+            underflow_bits[0] -= 1
+
+class BitReader:
+    def __init__(self, data):
+        self.data = data
+        self.bit_index = 0
+        self.total_bits = len(data) * 8
+
+    def read_bit(self):
+        if self.bit_index >= self.total_bits:
+            return 0
+        byte_pos = self.bit_index // 8
+        bit_pos = 7 - (self.bit_index % 8)
+        bit = (self.data[byte_pos] >> bit_pos) & 1
+        self.bit_index += 1
+        return bit
+
+def yang_range_encode(radicals, alpha=1, weight=128):
+    pred = RadicalPredictor(alpha, weight)
+    w = BitWriter()
+    low = 0
+    high = 0xFFFFFFFF
+    underflow_bits = [0]
+
+    for rc, rf, ra in radicals:
+        symbols = [rc, rf, ra]
+        prev_rc = pred.prev_rc
+        prev_rf = pred.prev_rf
+        prev_ra = pred.prev_ra
+
+        for step in range(3):
+            if step == 0:
+                cum_freqs = pred.get_cum_freqs_rc(prev_rc)
+            elif step == 1:
+                cum_freqs = pred.get_cum_freqs_rf(symbols[0], prev_rf)
+            else:
+                cum_freqs = pred.get_cum_freqs_ra(symbols[0], symbols[1], prev_ra)
+
+            sym = symbols[step]
+            total = cum_freqs[256]
+            cum_low = cum_freqs[sym]
+            cum_high = cum_freqs[sym + 1]
+
+            range_width = high - low + 1
+            high = low + (range_width * cum_high) // total - 1
+            low = low + (range_width * cum_low) // total
+
+            while True:
+                if high < 0x80000000:
+                    w.write_bit_helper(underflow_bits, 0)
+                    low <<= 1
+                    high = (high << 1) | 1
+                elif low >= 0x80000000:
+                    w.write_bit_helper(underflow_bits, 1)
+                    low = (low - 0x80000000) << 1
+                    high = ((high - 0x80000000) << 1) | 1
+                elif low >= 0x40000000 and high < 0xC0000000:
+                    underflow_bits[0] += 1
+                    low = (low - 0x40000000) << 1
+                    high = ((high - 0x40000000) << 1) | 1
+                else:
+                    break
+                low &= 0xFFFFFFFF
+                high &= 0xFFFFFFFF
+
+        pred.observe(rc, rf, ra)
+
+    underflow_bits[0] += 1
+    if low < 0x40000000:
+        w.write_bit_helper(underflow_bits, 0)
+    else:
+        w.write_bit_helper(underflow_bits, 1)
+
+    return w.buffer, w.bit_index
+
+def yang_range_decode(encoded_bytes, num_radicals, alpha=1, weight=128):
+    pred = RadicalPredictor(alpha, weight)
+    r = BitReader(encoded_bytes)
+    value = 0
+    for _ in range(32):
+        value = (value << 1) | r.read_bit()
+
+    low = 0
+    high = 0xFFFFFFFF
+    decoded_radicals = []
+
+    for _ in range(num_radicals):
+        prev_rc = pred.prev_rc
+        prev_rf = pred.prev_rf
+        prev_ra = pred.prev_ra
+        symbols = [0, 0, 0]
+
+        for step in range(3):
+            if step == 0:
+                cum_freqs = pred.get_cum_freqs_rc(prev_rc)
+            elif step == 1:
+                cum_freqs = pred.get_cum_freqs_rf(symbols[0], prev_rf)
+            else:
+                cum_freqs = pred.get_cum_freqs_ra(symbols[0], symbols[1], prev_ra)
+
+            total = cum_freqs[256]
+            range_width = high - low + 1
+            scaled_val = ((value - low + 1) * total - 1) // range_width
+
+            sym = 0
+            l_idx, r_idx = 0, 255
+            while l_idx <= r_idx:
+                m_idx = (l_idx + r_idx) // 2
+                if cum_freqs[m_idx] <= scaled_val < cum_freqs[m_idx + 1]:
+                    sym = m_idx
+                    break
+                elif scaled_val >= cum_freqs[m_idx + 1]:
+                    l_idx = m_idx + 1
+                else:
+                    r_idx = m_idx - 1
+
+            symbols[step] = sym
+            cum_low = cum_freqs[sym]
+            cum_high = cum_freqs[sym + 1]
+
+            high = low + (range_width * cum_high) // total - 1
+            low = low + (range_width * cum_low) // total
+
+            while True:
+                if high < 0x80000000:
+                    low <<= 1
+                    high = (high << 1) | 1
+                    value = (value << 1) | r.read_bit()
+                elif low >= 0x80000000:
+                    low = (low - 0x80000000) << 1
+                    high = ((high - 0x80000000) << 1) | 1
+                    value = ((value - 0x80000000) << 1) | r.read_bit()
+                elif low >= 0x40000000 and high < 0xC0000000:
+                    low = (low - 0x40000000) << 1
+                    high = ((high - 0x40000000) << 1) | 1
+                    value = ((value - 0x40000000) << 1) | r.read_bit()
+                else:
+                    break
+                low &= 0xFFFFFFFF
+                high &= 0xFFFFFFFF
+                value &= 0xFFFFFFFF
+
+        decoded_radicals.append((symbols[0], symbols[1], symbols[2]))
+        pred.observe(symbols[0], symbols[1], symbols[2])
+
+    return decoded_radicals
+
+# ==============================================================================
+# VOCAB COMPRESSOR & DECOMPRESSOR (Invention 10)
+# ==============================================================================
+def write_varint(val):
+    res = bytearray()
+    while val >= 128:
+        res.append((val & 0x7F) | 0x80)
+        val >>= 7
+    res.append(val & 0x7F)
+    return bytes(res)
+
+def read_varint(data, pos):
+    val = 0
+    shift = 0
+    while True:
+        if pos >= len(data):
+            break
+        b = data[pos]
+        pos += 1
+        val |= (b & 0x7F) << shift
+        if not (b & 0x80):
+            break
+        shift += 7
+    return val, pos
+
+def compress_vocab(tokens):
+    encoded = bytearray()
+    prev = b""
+    for t in tokens:
+        common = 0
+        l = min(len(t), len(prev))
+        while common < l and t[common] == prev[common]:
+            common += 1
+        suffix = t[common:]
+        encoded.extend(write_varint(common))
+        encoded.extend(write_varint(len(suffix)))
+        encoded.extend(suffix)
+        prev = t
+    return bytes(encoded)
+
+def decompress_vocab(data, num_tokens):
+    tokens = []
+    pos = 0
+    prev = b""
+    for _ in range(num_tokens):
+        if pos >= len(data):
+            break
+        common, pos = read_varint(data, pos)
+        suffix_len, pos = read_varint(data, pos)
+        suffix = data[pos : pos + suffix_len]
+        pos += suffix_len
+        
+        t = prev[:common] + suffix
+        tokens.append(t)
+        prev = t
+    return tokens
+
+# ==============================================================================
+# PURE NUMPY DCT / IDCT (Invention 07)
+# ==============================================================================
+def dct_1d(x):
+    N = len(x)
+    X = np.zeros(N)
+    for k in range(N):
+        val = 0
+        for n in range(N):
+            val += x[n] * np.cos(np.pi / N * (n + 0.5) * k)
+        X[k] = val
+    return X
+
+def idct_1d(X):
+    N = len(X)
+    x = np.zeros(N)
+    for n in range(N):
+        val = X[0] / N
+        for k in range(1, N):
+            val += (2.0 / N) * X[k] * np.cos(np.pi / N * (n + 0.5) * k)
+        x[n] = val
+    return x
+
+def dct_2d(matrix):
+    return np.array([dct_1d(row) for row in matrix])
+
+def idct_2d(matrix):
+    return np.array([idct_1d(row) for row in matrix])
+
+def quantize_matrix(M, min_val, max_val):
+    if np.abs(max_val - min_val) < 1e-7:
+        return np.zeros_like(M, dtype=np.uint8)
+    M_clipped = np.clip(M, min_val, max_val)
+    M_scaled = (M_clipped - min_val) / (max_val - min_val) * 255.0
+    return np.round(M_scaled).astype(np.uint8)
+
+def dequantize_matrix(M_quant, min_val, max_val):
+    return M_quant.astype(np.float32) / 255.0 * (max_val - min_val) + min_val
+
+# ==============================================================================
+# DYNAMIC XOR-FEC PACKETIZATION (Level 7 / Invention 06)
+# ==============================================================================
+SYNC_MARKER = 0xBB
+PKT_SIZE = 255
+TRANSPORT_HDR = 3
+DATA_PER_PKT = PKT_SIZE - TRANSPORT_HDR
+
+def xor_fec_parity(data_packets):
+    parity = bytearray(DATA_PER_PKT)
+    for pkt in data_packets:
+        data_part = pkt[TRANSPORT_HDR:]
+        for idx in range(min(len(data_part), DATA_PER_PKT)):
+            parity[idx] ^= data_part[idx]
+    return bytes(parity)
+
+def pack_payload(payload_bytes, num_data_packets):
+    total_capacity = num_data_packets * DATA_PER_PKT
+    if len(payload_bytes) < total_capacity:
+        payload_bytes = payload_bytes.ljust(total_capacity, b'\x00')
+    elif len(payload_bytes) > total_capacity:
+        payload_bytes = payload_bytes[:total_capacity]
+        
+    data_packets = []
+    total_packets = num_data_packets + 1
+    
+    for idx in range(num_data_packets):
+        chunk = payload_bytes[idx * DATA_PER_PKT : (idx + 1) * DATA_PER_PKT]
+        header = bytes([SYNC_MARKER, idx, total_packets])
+        data_packets.append(header + chunk)
+        
+    # Generate XOR parity packet
+    parity_data = xor_fec_parity(data_packets)
+    parity_header = bytes([SYNC_MARKER, num_data_packets, total_packets])
+    parity_packet = parity_header + parity_data
+    
+    return data_packets + [parity_packet]
+
+# ==============================================================================
+# PIPELINE EXECUTION GATE CHECKER
+# ==============================================================================
+def run_ultimate_pipeline():
+    print("=" * 80)
+    print("  ZYMATICA | Language-U Ultimate 7-Level Dynamic Execution Pipeline")
+    print("  Watermark: ip zymatica.space | astronautshe.com")
+    print("=" * 80)
+
+    # --------------------------------------------------------------------------
+    # LEVEL 1: RAW INGESTION & STRUCTURAL UPGRADE GATE
+    # --------------------------------------------------------------------------
+    print("\n[Level 1: Raw Ingestion & Improvement Gate] Loading and Upgrading 49 WebGL Frameworks...")
+    db_path = os.path.join(os.path.dirname(os.path.abspath(__file__)), "frameworks_db.json")
+    if not os.path.exists(db_path):
+        db_path = "frameworks_db.json"
+    if not os.path.exists(db_path):
+        print(f"[!] Error: {db_path} not found.")
+        return
+
+    with open(db_path, "r", encoding="utf-8") as f:
+        frameworks = json.load(f)
+
+    # Dynamically find the best way to improve each of the 49 frameworks:
+    # 1. Promote WebGL 1.0 or Canvas wrappers to WebGL 2.0 & WebGPU (Modality upgrade)
+    # 2. Re-architect legacy scene graphs to Entity Component System (ECS) with state caching (Subdomain upgrade)
+    # 3. Integrate state caches and sprite batching (Operation upgrade)
+    # 4. Integrate native glTF 2.0 loaders and modular assets converters (Ease of Use/Depth upgrade)
+    # 5. Unlock low-level GPU buffer mappings, shaders compile buffers and pipeline keys (Control/Polarity upgrade)
+    # 6. Raise 2D and 3D performance parameters to Outstanding.
+    upgraded_frameworks = []
+    for fw in frameworks:
+        name = fw["name"]
+        orig_attrs = fw["attributes"]
+        up_attrs = dict(orig_attrs)
+        
+        # Apply structural improvements
+        dim = orig_attrs.get("Primary Dimension", "")
+        if "webgl" in dim.lower() or "2d" in dim.lower() or "n/a" in dim.lower():
+            up_attrs["Primary Dimension"] = "3D & WebGPU accelerated"
+            
+        philo = orig_attrs.get("Philosophy", "")
+        if "monolithic" in philo.lower() or "legacy" in philo.lower() or "unix" in philo.lower():
+            up_attrs["Philosophy"] = "High-Performance Modular ECS Design"
+            
+        rendering = orig_attrs.get("Rendering Model", "")
+        if "scene graph" in rendering.lower() or "raw" in rendering.lower() or "direct" in rendering.lower() or "n/a" in rendering.lower():
+            up_attrs["Rendering Model"] = "Entity Component System (ECS) with State Cache"
+            
+        ease = orig_attrs.get("Ease of Use", "")
+        if "low" in ease.lower() or "medium" in ease.lower():
+            up_attrs["Ease of Use"] = "High (upgraded with unified glTF loader & parameters)"
+            
+        ctrl = orig_attrs.get("Control Level", "")
+        if "medium" in ctrl.lower() or "low" in ctrl.lower():
+            up_attrs["Control Level"] = "High (unlocked GPU context buffers)"
+            
+        perf2d = orig_attrs.get("Performance (2D)", "")
+        if "low" in perf2d.lower() or "moderate" in perf2d.lower() or "n/a" in perf2d.lower():
+            up_attrs["Performance (2D)"] = "High (sprite-batch optimized)"
+            
+        perf3d = orig_attrs.get("Performance (3D)", "")
+        if "low" in perf3d.lower() or "moderate" in perf3d.lower() or "n/a" in perf3d.lower():
+            up_attrs["Performance (3D)"] = "Outstanding (WebGPU/WebGL2 state cached)"
+            
+        imp = orig_attrs.get("Importing Models", "")
+        if "manual" in imp.lower() or "n/a" in imp.lower():
+            up_attrs["Importing Models"] = "Out-of-the-box (glTF 2.0 native)"
+
+        # Upgraded coordinates representing the improved states
+        domain = 1
+        if any(k in name.lower() for k in ["pixi", "phaser", "away", "p5"]):
+            domain = 2
+        elif any(k in name.lower() for k in ["scenejs", "glam", "deck", "cesium", "luma", "philo"]):
+            domain = 7
+            
+        up_fw = {
+            "name": name,
+            "url": fw["url"],
+            "attributes": up_attrs,
+            "coordinates": {
+                "domain": domain,
+                "subdomain": 2,    # ECS (upgraded)
+                "operation": 1,    # State Caching (upgraded)
+                "modality": 2,     # WebGL 2 & WebGPU (upgraded)
+                "depth": 15,       # Ease of Use: Very High (upgraded)
+                "polarity": 12     # Control: High (upgraded)
+            }
+        }
+        
+        # Pack coordinates into 3-byte radicals
+        rc = (domain << 4) | 2
+        rf = (1 << 4) | 2
+        ra = (15 << 4) | 12
+        
+        up_fw["radicals"] = {
+            "rc": rc,
+            "rf": rf,
+            "ra": ra
+        }
+        
+        upgraded_frameworks.append(up_fw)
+
+    # Sort upgraded_frameworks lexicographically by name to align index mapping
+    upgraded_frameworks.sort(key=lambda x: x["name"])
+
+    assert len(upgraded_frameworks) == 49, "Upgraded framework count mismatch!"
+    for fw in upgraded_frameworks:
+        assert len(fw["name"]) > 0, "Framework name is empty!"
+        assert len(fw["attributes"]) == 9, "Framework attributes count mismatch!"
+    print("  [+] LEVEL 1 PASS: Ingested and upgraded all 49 frameworks successfully.")
+
+    # --------------------------------------------------------------------------
+    # LEVEL 2: STRUCTURED EXTRACTION GATE
+    # --------------------------------------------------------------------------
+    print("\n[Level 2: Structured Gate] Verifying JSON serialization of upgraded configurations...")
+    json_bytes = json.dumps(upgraded_frameworks, indent=2).encode('utf-8')
+    assert len(json_bytes) > 0, "JSON serialization is empty!"
+    print(f"  - Structured JSON size: {len(json_bytes):,} bytes")
+    print("  [+] LEVEL 2 PASS: Upgraded database verified as structured JSON schema.")
+
+    # --------------------------------------------------------------------------
+    # LEVEL 3: YIN HYPERCUBE MAPPING GATE (SVD, Ridge, DCT, Normalization)
+    # --------------------------------------------------------------------------
+    print("\n[Level 3: Yin Mapping Gate] Packing 6D coordinates, applying SVD-DCT + Ridge math...")
+    raw_coords = []
+    radicals_list = []
+    for fw in upgraded_frameworks:
+        coords = fw["coordinates"]
+        raw_coords.append([coords["domain"], coords["subdomain"], coords["operation"], coords["modality"], coords["depth"], coords["polarity"]])
+        rads = fw["radicals"]
+        radicals_list.append((rads["rc"], rads["rf"], rads["ra"]))
+        
+    coords_matrix = np.array(raw_coords, dtype=np.float32)
+    
+    # Invention 21: Cuneiform Normalization Scalar (normalize coordinates to [0, 255])
+    normalized_coords = coords_matrix / 15.0
+    scaled_coords = normalized_coords * 255.0
+    print(f"  - Matrix shape: {coords_matrix.shape} (49 frameworks x 6 coordinates)")
+    print(f"  - Coordinates Normalized & Scaled Checksum: {hashlib.sha256(scaled_coords.tobytes()).hexdigest()[:12]}")
+    
+    # Truncated SVD, Ridge Regression and DCT Spectral compression dynamic loop
+    print("  - Searching for optimal low-rank projection parameters with zero coordinate drift...")
+    optimal_config = None
+    for rank in [2, 3, 4, 5, 6]:
+        for coeffs in [0, 1, 2, 3, 4, 5, 6]:
+            U, S, Vt = np.linalg.svd(coords_matrix, full_matrices=False)
+            
+            U_trunc = U[:, :rank]
+            S_trunc = S[:rank]
+            Vt_trunc = Vt[:rank, :]
+            
+            coords_low_rank = np.dot(U_trunc * S_trunc, Vt_trunc)
+            residuals = coords_matrix - coords_low_rank
+            
+            # Invention 25: Activation-Aware SVD Residual Holders (Ridge regression on SVD residuals)
+            X = coords_low_rank
+            Y = residuals
+            alpha = 1.0 # L2 Regularization parameter
+            W_ridge = np.dot(np.linalg.inv(np.dot(X.T, X) + alpha * np.eye(X.shape[1])), np.dot(X.T, Y))
+            predicted_residuals = np.dot(X, W_ridge)
+            
+            # Spectral Energy Packing on remaining error (DCT)
+            remaining_error = residuals - predicted_residuals
+            dct_error = dct_2d(remaining_error)
+            
+            dct_error_truncated = dct_error.copy()
+            dct_error_truncated[:, coeffs:] = 0
+            
+            # Quantize U, Vt and DCT coefficients into uint8 for transport
+            U_min, U_max = float(U_trunc.min()), float(U_trunc.max())
+            Vt_min, Vt_max = float(Vt_trunc.min()), float(Vt_trunc.max())
+            if coeffs > 0:
+                dct_min, dct_max = float(dct_error_truncated[:, :coeffs].min()), float(dct_error_truncated[:, :coeffs].max())
+            else:
+                dct_min, dct_max = 0.0, 0.0
+            
+            quant_U = quantize_matrix(U_trunc, U_min, U_max)
+            quant_Vt = quantize_matrix(Vt_trunc, Vt_min, Vt_max)
+            quant_dct = quantize_matrix(dct_error_truncated[:, :coeffs], dct_min, dct_max)
+            
+            # Reconstruction check on receiver-side
+            U_dequant = dequantize_matrix(quant_U, U_min, U_max)
+            Vt_dequant = dequantize_matrix(quant_Vt, Vt_min, Vt_max)
+            dct_dequant = np.zeros_like(dct_error)
+            dct_dequant[:, :coeffs] = dequantize_matrix(quant_dct, dct_min, dct_max)
+            
+            coords_low_rank_rec = np.dot(U_dequant * S_trunc, Vt_dequant)
+            predicted_residuals_rec = np.dot(coords_low_rank_rec, W_ridge)
+            recovered_remaining_error_rec = idct_2d(dct_dequant)
+            recovered_residuals_rec = predicted_residuals_rec + recovered_remaining_error_rec
+            recovered_coords_rec = coords_low_rank_rec + recovered_residuals_rec
+            
+            rounded_coords = np.round(recovered_coords_rec)
+            
+            if np.array_equal(rounded_coords, coords_matrix):
+                optimal_config = {
+                    "rank": rank,
+                    "coeffs": coeffs,
+                    "quant_U": quant_U,
+                    "quant_Vt": quant_Vt,
+                    "quant_dct": quant_dct,
+                    "S": S_trunc,
+                    "W_ridge": W_ridge,
+                    "U_bounds": (U_min, U_max),
+                    "Vt_bounds": (Vt_min, Vt_max),
+                    "dct_bounds": (dct_min, dct_max)
+                }
+                break
+        if optimal_config is not None:
+            break
+            
+    assert optimal_config is not None, "Failed to find optimal lossless SVD-DCT coordinates configuration!"
+    print(f"  - Math check: SVD Rank {optimal_config['rank']} + DCT {optimal_config['coeffs']} coeffs achieves perfect round-trip reconstruction.")
+    print("  - Mean Residual Reconstruction Error (pre-healing): 0.000000 MSE.")
+    
+    # --------------------------------------------------------------------------
+    # LEVEL 3 DETAILED VERIFICATION LOOP
+    # --------------------------------------------------------------------------
+    # Unpack verification loop to verify coordinate ranges
+    for idx, (rc, rf, ra) in enumerate(radicals_list):
+        orig_coords = upgraded_frameworks[idx]["coordinates"]
+        domain = rc >> 4
+        subdomain = rc & 0xF
+        operation = rf >> 4
+        modality = rf & 0xF
+        depth = ra >> 4
+        polarity = ra & 0xF
+        
+        assert domain == orig_coords["domain"], f"Domain mismatch at index {idx}!"
+        assert subdomain == orig_coords["subdomain"], f"Subdomain mismatch at index {idx}!"
+        assert operation == orig_coords["operation"], f"Operation mismatch at index {idx}!"
+        assert modality == orig_coords["modality"], f"Modality mismatch at index {idx}!"
+        assert depth == orig_coords["depth"], f"Depth mismatch at index {idx}!"
+        assert polarity == orig_coords["polarity"], f"Polarity mismatch at index {idx}!"
+        
+    print("  [+] LEVEL 3 PASS: Yin hypercube mapping & coordinate decompression verified losslessly.")
+
+    # --------------------------------------------------------------------------
+    # LEVEL 4: PREFIX-SUFFIX sorted Tokenizer Coder Gate
+    # --------------------------------------------------------------------------
+    print("\n[Level 4: Tokenizer Gate] Encoding sorted framework names prefix-suffix coder...")
+    names_sorted = sorted([fw["name"] for fw in upgraded_frameworks])
+    names_bytes = [n.encode('utf-8') for n in names_sorted]
+    compressed_names = compress_vocab(names_bytes)
+    
+    # Decompress and verify
+    restored_names_bytes = decompress_vocab(compressed_names, len(names_sorted))
+    restored_names = [n.decode('utf-8') for n in restored_names_bytes]
+    assert names_sorted == restored_names, "Level 4 prefix-suffix vocab mismatch!"
+    print(f"  - Vocab items: {len(names_sorted)} names")
+    print(f"  - Original size: {sum(len(n) for n in names_sorted)} bytes | Level 4 size: {len(compressed_names)} bytes")
+    print("  [+] LEVEL 4 PASS: Sorted vocab prefix-suffix tokenizer encoding validated losslessly.")
+
+    # --------------------------------------------------------------------------
+    # LEVEL 5: ORACLE REFERENCE DELTAS GATE
+    # --------------------------------------------------------------------------
+    print("\n[Level 5: Oracle Deltas Gate] Aligning words against WebGL Base-Oracle...")
+    oracle_count = 0
+    total_tokens = 0
+    for name in names_sorted:
+        tokens = tokenize_name_to_oracle(name)
+        total_tokens += len(tokens)
+        for is_oracle, val in tokens:
+            if is_oracle:
+                oracle_count += 1
+                
+    oracle_ratio = (oracle_count / total_tokens) * 100
+    print(f"  - Total words parsed in names: {total_tokens}")
+    print(f"  - Pre-shared Oracle matches:    {oracle_count} ({oracle_ratio:.2f}%)")
+    
+    # EPAUP projection validation
+    projection_weights = np.dot(coords_matrix[:40, :].T, ORACLE_EMBEDDINGS) # 6x16
+    projected_centroids = np.dot(coords_matrix, projection_weights) # 49x16
+    assert projected_centroids.shape == (49, 16), "EPAUP projection shape mismatch!"
+    print("  [+] LEVEL 5 PASS: Base-Oracle reference alignment and E-PAUP projections verified.")
+
+    # --------------------------------------------------------------------------
+    # LEVEL 6: YANG RANGE CODER & DEFLATE GATE
+    # --------------------------------------------------------------------------
+    print("\n[Level 6: Yang Range Coder Gate] Executing Cuneiform-U Production Range Coder...")
+    bitstream, bit_count = yang_range_encode(radicals_list, alpha=1, weight=128)
+    print(f"  - Yang Range Coder bitstream size: {bit_count} bits ({len(bitstream)} bytes)")
+    
+    # Verify range decode
+    decoded_radicals = yang_range_decode(bitstream, len(radicals_list), alpha=1, weight=128)
+    assert radicals_list == decoded_radicals, "Yang Range Decoder mismatch!"
+    print("  - Yang coordinate range decoding output matches original radicals 100% losslessly.")
+
+    # Apply zlib level 9 compression to complete Level 6 deflate
+    magic_header = b'LUB'
+    header = struct.pack(">3sB H", magic_header, len(upgraded_frameworks), len(compressed_names))
+    transport_payload = header + compressed_names + bytes(bitstream)
+    final_seed = zlib.compress(transport_payload, level=9)
+    print(f"  - Level 6 deflated capsule (.LLM seed): {len(final_seed)} bytes")
+    print("  [+] LEVEL 6 PASS: Yang range coder and Deflate gates validated losslessly.")
+
+    # --------------------------------------------------------------------------
+    # LEVEL 7: XOR-FEC CHIRP PACKETIZATION GATE & CHANNEL HEALING
+    # --------------------------------------------------------------------------
+    print("\n[Level 7: Packetization Gate] Generating XOR-FEC radio packets...")
+    num_data_packets = (len(final_seed) + DATA_PER_PKT - 1) // DATA_PER_PKT
+    packets = pack_payload(final_seed, num_data_packets)
+    print(f"  - Split payload into {num_data_packets} data packets + 1 XOR parity packet.")
+    
+    # Packet loss simulation: Drop Packet 0
+    print("  - [Simulated Channel] Dropping Packet 0 during transmission...")
+    received_packets = [p for i, p in enumerate(packets) if i != 0]
+    
+    # Reconstruct Packet 0 using XOR parity equation
+    print("  - [XOR-FEC Healing] Reconstructing Packet 0 using XOR parity equation...")
+    healed_data = bytearray(DATA_PER_PKT)
+    for p in received_packets:
+        data_part = p[TRANSPORT_HDR:]
+        for idx in range(DATA_PER_PKT):
+            healed_data[idx] ^= data_part[idx]
+            
+    recovered_packet = bytes([SYNC_MARKER, 0, num_data_packets + 1]) + bytes(healed_data)
+    assert recovered_packet == packets[0], "XOR-FEC recovery failed! Parity mismatch."
+    print("  - Recovered packet matches original packet 100% losslessly.")
+    
+    # Reassemble payload
+    healed_packets = received_packets + [recovered_packet]
+    healed_packets.sort(key=lambda x: x[1])
+    
+    assembled_payload = bytearray()
+    for idx in range(num_data_packets):
+        assembled_payload.extend(healed_packets[idx][TRANSPORT_HDR:])
+    assembled_payload = bytes(assembled_payload[:len(final_seed)])
+    
+    # Decompress final payload
+    decompressed = zlib.decompress(assembled_payload)
+    
+    # Parse header
+    magic, num_fws, names_len = struct.unpack(">3sB H", decompressed[:6])
+    assert magic == b'LUB', "Magic header mismatch!"
+    
+    pos = 6
+    decompressed_names = decompressed[pos : pos + names_len]
+    pos += names_len
+    decompressed_bitstream = decompressed[pos:]
+    
+    # Decode names and coordinates
+    restored_names = [n.decode('utf-8') for n in decompress_vocab(decompressed_names, num_fws)]
+    restored_radicals = yang_range_decode(decompressed_bitstream, num_fws, alpha=1, weight=128)
+    
+    assert restored_names == names_sorted, "Decompressed names mismatch!"
+    assert restored_radicals == radicals_list, "Decompressed radicals mismatch!"
+    
+    print("  - Verification complete: Names & coordinates fully restored after XOR packet loss healing.")
+    print("  [+] LEVEL 7 PASS: XOR-FEC packetization and reassembly gates validated losslessly.")
+
+    # --------------------------------------------------------------------------
+    # COMPILING OUTPUT TRANSPORT BINARIES (Delete browser UI, save clean assets)
+    # --------------------------------------------------------------------------
+    print("\n[Output] Saving clean binary transport assets inside Language-U-Browser/...")
+    target_dir = os.path.dirname(os.path.abspath(__file__))
+    os.makedirs(target_dir, exist_ok=True)
+    
+    # 1. Save deflated seed .LLM capsule
+    with open(os.path.join(target_dir, "Language-U-Browser.LLM"), "wb") as f:
+        f.write(final_seed)
+        
+    # 2. Save metadata JSON
+    meta_db = {
+        "frameworks_count": len(upgraded_frameworks),
+        "compressed_size": len(final_seed),
+        "sha256": hashlib.sha256(final_seed).hexdigest(),
+        "packets_count": len(packets),
+        "svd_rank": optimal_config["rank"],
+        "dct_coefficients": optimal_config["coeffs"],
+        "singular_values": optimal_config["S"].tolist(),
+        "u_bounds": optimal_config["U_bounds"],
+        "vt_bounds": optimal_config["Vt_bounds"],
+        "dct_bounds": optimal_config["dct_bounds"],
+        "version": "Sumerian-U-v3"
+    }
+    with open(os.path.join(target_dir, "frameworks_metadata.json"), "w") as f:
+        json.dump(meta_db, f, indent=2)
+        
+    # 3. Save SVD and DCT component binaries
+    with open(os.path.join(target_dir, "frameworks_u.bin"), "wb") as f: 
+        f.write(optimal_config["quant_U"].tobytes())
+    with open(os.path.join(target_dir, "frameworks_vt.bin"), "wb") as f: 
+        f.write(optimal_config["quant_Vt"].tobytes())
+    with open(os.path.join(target_dir, "frameworks_dct.bin"), "wb") as f: 
+        f.write(optimal_config["quant_dct"].tobytes())
+    with open(os.path.join(target_dir, "frameworks_names.bin"), "wb") as f: 
+        f.write(compressed_names)
+    with open(os.path.join(target_dir, "frameworks_coordinates.bin"), "wb") as f: 
+        f.write(bytes(bitstream))
+        
+    # 4. Save packets
+    packets_dir = os.path.join(target_dir, "packets")
+    os.makedirs(packets_dir, exist_ok=True)
+    for idx, pkt in enumerate(packets):
+        is_parity = idx == len(packets) - 1
+        name = "parity_packet.bin" if is_parity else f"packet_{idx:02d}.bin"
+        with open(os.path.join(packets_dir, name), "wb") as f:
+            f.write(pkt)
+            
+    print("  - Saved packets binary files successfully.")
+    print("  - Output directory verified: no browser UI files (HTML/CSS/JS) remain.")
+    
+    print("\n" + "=" * 80)
+    print("  [SUCCESS] ULTIMATE DYNAMIC EXECUTION PIPELINE VERIFIED SUCCESSFULLY!")
+    print("  All 49 upgraded WebGL frameworks compressed & restored with perfect math. [OK]")
+    print("=" * 80)
+
+if __name__ == "__main__":
+    run_ultimate_pipeline()

verify_language_u.lua

@@ -1,315 +1,315 @@
--- ZYMATICA | Language-U Cross-Language Verification Engine (Lua)
--- Watermark: ip zymatica.space | astronautshe.com
-
-print("======================================================================")
-print("ZYMATICA | Cross-Language Lua Decompressor & Range-Decoder")
-print("======================================================================\n")
-
-local RadicalPredictor = {}
-RadicalPredictor.__index = RadicalPredictor
-
-function RadicalPredictor.new(alpha, weight)
-    local self = setmetatable({}, RadicalPredictor)
-    self.alpha = alpha
-    self.weight = weight
-    self.trans_rc = {}
-    self.trans_rf = {}
-    self.trans_ra = {}
-    self.prev_rc = 0
-    self.prev_rf = 0
-    self.prev_ra = 0
-    return self
-end
-
-function RadicalPredictor:observe(rc, rf, ra)
-    local w = self.weight
-    local key_rc = self.prev_rc
-    local found = false
-    for _, entry in ipairs(self.trans_rc) do
-        if entry.key == key_rc and entry.sym == rc then
-            entry.count = entry.count + w
-            found = true
-            break
-        end
-    end
-    if not found and #self.trans_rc < 256 then
-        table.insert(self.trans_rc, {key = key_rc, sym = rc, count = w})
-    end
-
-    local key_rf = (rc * 256) + self.prev_rf
-    found = false
-    for _, entry in ipairs(self.trans_rf) do
-        if entry.key == key_rf and entry.sym == rf then
-            entry.count = entry.count + w
-            found = true
-            break
-        end
-    end
-    if not found and #self.trans_rf < 256 then
-        table.insert(self.trans_rf, {key = key_rf, sym = rf, count = w})
-    end
-
-    local key_ra = (rc * 65536) + (rf * 256) + self.prev_ra
-    found = false
-    for _, entry in ipairs(self.trans_ra) do
-        if entry.key == key_ra and entry.sym == ra then
-            entry.count = entry.count + w
-            found = true
-            break
-        end
-    end
-    if not found and #self.trans_ra < 256 then
-        table.insert(self.trans_ra, {key = key_ra, sym = ra, count = w})
-    end
-
-    self.prev_rc = rc
-    self.prev_rf = rf
-    self.prev_ra = ra
-end
-
-function RadicalPredictor:get_cum_freqs_rc(prev_rc)
-    local freqs = {}
-    for i = 0, 255 do freqs[i] = self.alpha end
-    for _, entry in ipairs(self.trans_rc) do
-        if entry.key == prev_rc then
-            freqs[entry.sym] = freqs[entry.sym] + entry.count
-        end
-    end
-    local cum_freqs = {[0] = 0}
-    for i = 0, 255 do
-        cum_freqs[i+1] = cum_freqs[i] + freqs[i]
-    end
-    return cum_freqs
-end
-
-function RadicalPredictor:get_cum_freqs_rf(curr_rc, prev_rf)
-    local freqs = {}
-    for i = 0, 255 do freqs[i] = self.alpha end
-    local key = (curr_rc * 256) + prev_rf
-    for _, entry in ipairs(self.trans_rf) do
-        if entry.key == key then
-            freqs[entry.sym] = freqs[entry.sym] + entry.count
-        end
-    end
-    local cum_freqs = {[0] = 0}
-    for i = 0, 255 do
-        cum_freqs[i+1] = cum_freqs[i] + freqs[i]
-    end
-    return cum_freqs
-end
-
-function RadicalPredictor:get_cum_freqs_ra(curr_rc, curr_rf, prev_ra)
-    local freqs = {}
-    for i = 0, 255 do freqs[i] = self.alpha end
-    local key = (curr_rc * 65536) + (curr_rf * 256) + prev_ra
-    for _, entry in ipairs(self.trans_ra) do
-        if entry.key == key then
-            freqs[entry.sym] = freqs[entry.sym] + entry.count
-        end
-    end
-    local cum_freqs = {[0] = 0}
-    for i = 0, 255 do
-        cum_freqs[i+1] = cum_freqs[i] + freqs[i]
-    end
-    return cum_freqs
-end
-
-local BitReader = {}
-BitReader.__index = BitReader
-
-function BitReader.new(buffer)
-    local self = setmetatable({}, BitReader)
-    self.buffer = buffer
-    self.bit_index = 0
-    self.total_bits = #buffer * 8
-    return self
-end
-
-function BitReader:read_bit()
-    if self.bit_index >= self.total_bits then
-        return 0
-    end
-    local byte_pos = math.floor(self.bit_index / 8) + 1
-    local bit_pos = 7 - (self.bit_index % 8)
-    local bit = math.floor(self.buffer[byte_pos] / (2 ^ bit_pos)) % 2
-    self.bit_index = self.bit_index + 1
-    return bit
-end
-
-local function read_varint(data, state)
-    local val = 0
-    local shift = 1
-    while true do
-        if state.pos > #data then break end
-        local b = string.byte(data, state.pos)
-        state.pos = state.pos + 1
-        local val_part = b % 128
-        val = val + val_part * shift
-        if b < 128 then break end
-        shift = shift * 128
-    end
-    return val
-end
-
-local function decompress_vocab(data, num_tokens)
-    local tokens = {}
-    local state = {pos = 1}
-    local prev = ""
-    for i = 1, num_tokens do
-        if state.pos > #data then break end
-        local common = read_varint(data, state)
-        local suffix_len = read_varint(data, state)
-        local suffix = string.sub(data, state.pos, state.pos + suffix_len - 1)
-        state.pos = state.pos + suffix_len
-        
-        local prefix = string.sub(prev, 1, math.min(common, #prev))
-        local token = prefix .. suffix
-        table.insert(tokens, token)
-        prev = token
-    end
-    return tokens
-end
-
-local function decode(encoded_bytes, num_concepts, alpha, weight)
-    local pred = RadicalPredictor.new(alpha, weight)
-    local r = BitReader.new(encoded_bytes)
-
-    local value = 0
-    for i = 1, 32 do
-        value = ((value * 2) + r:read_bit()) % 0x100000000
-    end
-
-    local low = 0
-    local high = 0xFFFFFFFF
-    local decoded = {}
-
-    for c_idx = 1, num_concepts do
-        local prev_rc = pred.prev_rc
-        local prev_rf = pred.prev_rf
-        local prev_ra = pred.prev_ra
-        local symbols = {[0] = 0, [1] = 0, [2] = 0}
-
-        for step = 0, 2 do
-            local cum_freqs
-            if step == 0 then
-                cum_freqs = pred:get_cum_freqs_rc(prev_rc)
-            elseif step == 1 then
-                cum_freqs = pred:get_cum_freqs_rf(symbols[0], prev_rf)
-            else
-                cum_freqs = pred:get_cum_freqs_ra(symbols[0], symbols[1], prev_ra)
-            end
-
-            local total = cum_freqs[256]
-            local range_width = high - low + 1
-            local scaled_val = math.floor((((value - low) + 1) * total - 1) / range_width)
-
-            local sym = 0
-            local l_idx, r_idx = 0, 255
-            while l_idx <= r_idx do
-                local m_idx = math.floor((l_idx + r_idx) / 2)
-                if cum_freqs[m_idx] <= scaled_val and scaled_val < cum_freqs[m_idx + 1] then
-                    sym = m_idx
-                    break
-                elseif scaled_val >= cum_freqs[m_idx + 1] then
-                    l_idx = m_idx + 1
-                else
-                    r_idx = m_idx - 1
-                end
-            end
-
-            symbols[step] = sym
-            local cum_low = cum_freqs[sym]
-            local cum_high = cum_freqs[sym + 1]
-
-            high = low + math.floor((range_width * cum_high) / total) - 1
-            low = low + math.floor((range_width * cum_low) / total)
-
-            while true do
-                if high < 0x80000000 then
-                    low = (low * 2) % 0x100000000
-                    high = ((high * 2) + 1) % 0x100000000
-                    value = ((value * 2) + r:read_bit()) % 0x100000000
-                elseif low >= 0x80000000 then
-                    low = ((low - 0x80000000) * 2) % 0x100000000
-                    high = (((high - 0x80000000) * 2) + 1) % 0x100000000
-                    value = (((value - 0x80000000) * 2) + r:read_bit()) % 0x100000000
-                elseif low >= 0x40000000 and high < 0xC0000000 then
-                    low = ((low - 0x40000000) * 2) % 0x100000000
-                    high = (((high - 0x40000000) * 2) + 1) % 0x100000000
-                    value = (((value - 0x40000000) * 2) + r:read_bit()) % 0x100000000
-                else
-                    break
-                end
-            end
-        end
-
-        table.insert(decoded, {rc = symbols[0], rf = symbols[1], ra = symbols[2]})
-        pred:observe(symbols[0], symbols[1], symbols[2])
-    end
-    return decoded
-end
-
--- Load binary files
-local function read_file(path)
-    local f = io.open(path, "rb")
-    if not f then return nil end
-    local content = f:read("*all")
-    f:close()
-    return content
-end
-
-local names_data = read_file("Language-U-Browser/frameworks_names.bin")
-local coords_data = read_file("Language-U-Browser/frameworks_coordinates.bin")
-
-if not names_data or not coords_data then
-    print("[!] Error: Binary transport files not found. Run run_ultimate_pipeline.py first.")
-    os.exit(1)
-end
-
--- Decompress names
-local names = decompress_vocab(names_data, 49)
-print("[1] Lua Vocab Decompression: SUCCESS (" .. #names .. " names restored).")
-
--- Formulate expected coordinates
-local expected = {}
-for i, name in ipairs(names) do
-    local domain = 1
-    local lower = string.lower(name)
-    if string.find(lower, "pixi") or string.find(lower, "phaser") or string.find(lower, "away") or string.find(lower, "p5") then
-        domain = 2
-    elseif string.find(lower, "scenejs") or string.find(lower, "glam") or string.find(lower, "deck") or string.find(lower, "cesium") or string.find(lower, "luma") or string.find(lower, "philo") then
-        domain = 7
-    end
-    local rc = (domain * 16) + 2
-    local rf = (1 * 16) + 2
-    local ra = (15 * 16) + 12
-    table.insert(expected, {rc = rc, rf = rf, ra = ra})
-end
-
--- Convert coordinates data string to byte array
-local coords_bytes = {}
-for i = 1, #coords_data do
-    coords_bytes[i] = string.byte(coords_data, i)
-end
-
--- Range decode coordinates in Lua
-local decoded = decode(coords_bytes, 49, 1, 128)
-print("[2] Lua Yang Range Decoder execution: SUCCESS.")
-
--- Match check
-local match_ok = true
-for i = 1, 49 do
-    if expected[i].rc ~= decoded[i].rc or expected[i].rf ~= decoded[i].rf or expected[i].ra ~= decoded[i].ra then
-        print(string.format("[!] Mismatch at index %d (%s): Expected RC=%02X, RF=%02X, RA=%02X | Decoded RC=%02X, RF=%02X, RA=%02X",
-            i-1, names[i], expected[i].rc, expected[i].rf, expected[i].ra, decoded[i].rc, decoded[i].rf, decoded[i].ra))
-        match_ok = false
-        break
-    end
-end
-
-if match_ok then
-    print("\n[SUCCESS] Lua range-decoder verification: 100% MATCH!")
-else
-    print("\n[ERROR] Lua dynamic coordinate check failed!")
-    os.exit(1)
-end
+-- ZYMATICA | Language-U Cross-Language Verification Engine (Lua)
+-- Watermark: ip zymatica.space | astronautshe.com
+
+print("======================================================================")
+print("ZYMATICA | Cross-Language Lua Decompressor & Range-Decoder")
+print("======================================================================\n")
+
+local RadicalPredictor = {}
+RadicalPredictor.__index = RadicalPredictor
+
+function RadicalPredictor.new(alpha, weight)
+    local self = setmetatable({}, RadicalPredictor)
+    self.alpha = alpha
+    self.weight = weight
+    self.trans_rc = {}
+    self.trans_rf = {}
+    self.trans_ra = {}
+    self.prev_rc = 0
+    self.prev_rf = 0
+    self.prev_ra = 0
+    return self
+end
+
+function RadicalPredictor:observe(rc, rf, ra)
+    local w = self.weight
+    local key_rc = self.prev_rc
+    local found = false
+    for _, entry in ipairs(self.trans_rc) do
+        if entry.key == key_rc and entry.sym == rc then
+            entry.count = entry.count + w
+            found = true
+            break
+        end
+    end
+    if not found and #self.trans_rc < 256 then
+        table.insert(self.trans_rc, {key = key_rc, sym = rc, count = w})
+    end
+
+    local key_rf = (rc * 256) + self.prev_rf
+    found = false
+    for _, entry in ipairs(self.trans_rf) do
+        if entry.key == key_rf and entry.sym == rf then
+            entry.count = entry.count + w
+            found = true
+            break
+        end
+    end
+    if not found and #self.trans_rf < 256 then
+        table.insert(self.trans_rf, {key = key_rf, sym = rf, count = w})
+    end
+
+    local key_ra = (rc * 65536) + (rf * 256) + self.prev_ra
+    found = false
+    for _, entry in ipairs(self.trans_ra) do
+        if entry.key == key_ra and entry.sym == ra then
+            entry.count = entry.count + w
+            found = true
+            break
+        end
+    end
+    if not found and #self.trans_ra < 256 then
+        table.insert(self.trans_ra, {key = key_ra, sym = ra, count = w})
+    end
+
+    self.prev_rc = rc
+    self.prev_rf = rf
+    self.prev_ra = ra
+end
+
+function RadicalPredictor:get_cum_freqs_rc(prev_rc)
+    local freqs = {}
+    for i = 0, 255 do freqs[i] = self.alpha end
+    for _, entry in ipairs(self.trans_rc) do
+        if entry.key == prev_rc then
+            freqs[entry.sym] = freqs[entry.sym] + entry.count
+        end
+    end
+    local cum_freqs = {[0] = 0}
+    for i = 0, 255 do
+        cum_freqs[i+1] = cum_freqs[i] + freqs[i]
+    end
+    return cum_freqs
+end
+
+function RadicalPredictor:get_cum_freqs_rf(curr_rc, prev_rf)
+    local freqs = {}
+    for i = 0, 255 do freqs[i] = self.alpha end
+    local key = (curr_rc * 256) + prev_rf
+    for _, entry in ipairs(self.trans_rf) do
+        if entry.key == key then
+            freqs[entry.sym] = freqs[entry.sym] + entry.count
+        end
+    end
+    local cum_freqs = {[0] = 0}
+    for i = 0, 255 do
+        cum_freqs[i+1] = cum_freqs[i] + freqs[i]
+    end
+    return cum_freqs
+end
+
+function RadicalPredictor:get_cum_freqs_ra(curr_rc, curr_rf, prev_ra)
+    local freqs = {}
+    for i = 0, 255 do freqs[i] = self.alpha end
+    local key = (curr_rc * 65536) + (curr_rf * 256) + prev_ra
+    for _, entry in ipairs(self.trans_ra) do
+        if entry.key == key then
+            freqs[entry.sym] = freqs[entry.sym] + entry.count
+        end
+    end
+    local cum_freqs = {[0] = 0}
+    for i = 0, 255 do
+        cum_freqs[i+1] = cum_freqs[i] + freqs[i]
+    end
+    return cum_freqs
+end
+
+local BitReader = {}
+BitReader.__index = BitReader
+
+function BitReader.new(buffer)
+    local self = setmetatable({}, BitReader)
+    self.buffer = buffer
+    self.bit_index = 0
+    self.total_bits = #buffer * 8
+    return self
+end
+
+function BitReader:read_bit()
+    if self.bit_index >= self.total_bits then
+        return 0
+    end
+    local byte_pos = math.floor(self.bit_index / 8) + 1
+    local bit_pos = 7 - (self.bit_index % 8)
+    local bit = math.floor(self.buffer[byte_pos] / (2 ^ bit_pos)) % 2
+    self.bit_index = self.bit_index + 1
+    return bit
+end
+
+local function read_varint(data, state)
+    local val = 0
+    local shift = 1
+    while true do
+        if state.pos > #data then break end
+        local b = string.byte(data, state.pos)
+        state.pos = state.pos + 1
+        local val_part = b % 128
+        val = val + val_part * shift
+        if b < 128 then break end
+        shift = shift * 128
+    end
+    return val
+end
+
+local function decompress_vocab(data, num_tokens)
+    local tokens = {}
+    local state = {pos = 1}
+    local prev = ""
+    for i = 1, num_tokens do
+        if state.pos > #data then break end
+        local common = read_varint(data, state)
+        local suffix_len = read_varint(data, state)
+        local suffix = string.sub(data, state.pos, state.pos + suffix_len - 1)
+        state.pos = state.pos + suffix_len
+        
+        local prefix = string.sub(prev, 1, math.min(common, #prev))
+        local token = prefix .. suffix
+        table.insert(tokens, token)
+        prev = token
+    end
+    return tokens
+end
+
+local function decode(encoded_bytes, num_concepts, alpha, weight)
+    local pred = RadicalPredictor.new(alpha, weight)
+    local r = BitReader.new(encoded_bytes)
+
+    local value = 0
+    for i = 1, 32 do
+        value = ((value * 2) + r:read_bit()) % 0x100000000
+    end
+
+    local low = 0
+    local high = 0xFFFFFFFF
+    local decoded = {}
+
+    for c_idx = 1, num_concepts do
+        local prev_rc = pred.prev_rc
+        local prev_rf = pred.prev_rf
+        local prev_ra = pred.prev_ra
+        local symbols = {[0] = 0, [1] = 0, [2] = 0}
+
+        for step = 0, 2 do
+            local cum_freqs
+            if step == 0 then
+                cum_freqs = pred:get_cum_freqs_rc(prev_rc)
+            elseif step == 1 then
+                cum_freqs = pred:get_cum_freqs_rf(symbols[0], prev_rf)
+            else
+                cum_freqs = pred:get_cum_freqs_ra(symbols[0], symbols[1], prev_ra)
+            end
+
+            local total = cum_freqs[256]
+            local range_width = high - low + 1
+            local scaled_val = math.floor((((value - low) + 1) * total - 1) / range_width)
+
+            local sym = 0
+            local l_idx, r_idx = 0, 255
+            while l_idx <= r_idx do
+                local m_idx = math.floor((l_idx + r_idx) / 2)
+                if cum_freqs[m_idx] <= scaled_val and scaled_val < cum_freqs[m_idx + 1] then
+                    sym = m_idx
+                    break
+                elseif scaled_val >= cum_freqs[m_idx + 1] then
+                    l_idx = m_idx + 1
+                else
+                    r_idx = m_idx - 1
+                end
+            end
+
+            symbols[step] = sym
+            local cum_low = cum_freqs[sym]
+            local cum_high = cum_freqs[sym + 1]
+
+            high = low + math.floor((range_width * cum_high) / total) - 1
+            low = low + math.floor((range_width * cum_low) / total)
+
+            while true do
+                if high < 0x80000000 then
+                    low = (low * 2) % 0x100000000
+                    high = ((high * 2) + 1) % 0x100000000
+                    value = ((value * 2) + r:read_bit()) % 0x100000000
+                elseif low >= 0x80000000 then
+                    low = ((low - 0x80000000) * 2) % 0x100000000
+                    high = (((high - 0x80000000) * 2) + 1) % 0x100000000
+                    value = (((value - 0x80000000) * 2) + r:read_bit()) % 0x100000000
+                elseif low >= 0x40000000 and high < 0xC0000000 then
+                    low = ((low - 0x40000000) * 2) % 0x100000000
+                    high = (((high - 0x40000000) * 2) + 1) % 0x100000000
+                    value = (((value - 0x40000000) * 2) + r:read_bit()) % 0x100000000
+                else
+                    break
+                end
+            end
+        end
+
+        table.insert(decoded, {rc = symbols[0], rf = symbols[1], ra = symbols[2]})
+        pred:observe(symbols[0], symbols[1], symbols[2])
+    end
+    return decoded
+end
+
+-- Load binary files
+local function read_file(path)
+    local f = io.open(path, "rb")
+    if not f then return nil end
+    local content = f:read("*all")
+    f:close()
+    return content
+end
+
+local names_data = read_file("frameworks_names.bin")
+local coords_data = read_file("frameworks_coordinates.bin")
+
+if not names_data or not coords_data then
+    print("[!] Error: Binary transport files not found. Run run_ultimate_pipeline.py first.")
+    os.exit(1)
+end
+
+-- Decompress names
+local names = decompress_vocab(names_data, 49)
+print("[1] Lua Vocab Decompression: SUCCESS (" .. #names .. " names restored).")
+
+-- Formulate expected coordinates
+local expected = {}
+for i, name in ipairs(names) do
+    local domain = 1
+    local lower = string.lower(name)
+    if string.find(lower, "pixi") or string.find(lower, "phaser") or string.find(lower, "away") or string.find(lower, "p5") then
+        domain = 2
+    elseif string.find(lower, "scenejs") or string.find(lower, "glam") or string.find(lower, "deck") or string.find(lower, "cesium") or string.find(lower, "luma") or string.find(lower, "philo") then
+        domain = 7
+    end
+    local rc = (domain * 16) + 2
+    local rf = (1 * 16) + 2
+    local ra = (15 * 16) + 12
+    table.insert(expected, {rc = rc, rf = rf, ra = ra})
+end
+
+-- Convert coordinates data string to byte array
+local coords_bytes = {}
+for i = 1, #coords_data do
+    coords_bytes[i] = string.byte(coords_data, i)
+end
+
+-- Range decode coordinates in Lua
+local decoded = decode(coords_bytes, 49, 1, 128)
+print("[2] Lua Yang Range Decoder execution: SUCCESS.")
+
+-- Match check
+local match_ok = true
+for i = 1, 49 do
+    if expected[i].rc ~= decoded[i].rc or expected[i].rf ~= decoded[i].rf or expected[i].ra ~= decoded[i].ra then
+        print(string.format("[!] Mismatch at index %d (%s): Expected RC=%02X, RF=%02X, RA=%02X | Decoded RC=%02X, RF=%02X, RA=%02X",
+            i-1, names[i], expected[i].rc, expected[i].rf, expected[i].ra, decoded[i].rc, decoded[i].rf, decoded[i].ra))
+        match_ok = false
+        break
+    end
+end
+
+if match_ok then
+    print("\n[SUCCESS] Lua range-decoder verification: 100% MATCH!")
+else
+    print("\n[ERROR] Lua dynamic coordinate check failed!")
+    os.exit(1)
+end

verify_language_u.rs

@@ -1,360 +1,360 @@
-// ZYMATICA | Language-U Cross-Language Verification Engine (Rust)
-// Watermark: ip zymatica.space | astronautshe.com
-
-use std::fs::File;
-use std::io::Read;
-use std::process;
-
-pub struct SparseTransition {
-    pub key: u32,
-    pub sym: u8,
-    pub count: u32,
-}
-
-pub struct RadicalPredictor {
-    pub alpha: u32,
-    pub weight: u32,
-    pub trans_rc: Vec<SparseTransition>,
-    pub trans_rf: Vec<SparseTransition>,
-    pub trans_ra: Vec<SparseTransition>,
-    pub prev_rc: u8,
-    pub prev_rf: u8,
-    pub prev_ra: u8,
-}
-
-impl RadicalPredictor {
-    pub fn new(alpha: u32, weight: u32) -> Self {
-        Self {
-            alpha,
-            weight,
-            trans_rc: Vec::new(),
-            trans_rf: Vec::new(),
-            trans_ra: Vec::new(),
-            prev_rc: 0,
-            prev_rf: 0,
-            prev_ra: 0,
-        }
-    }
-
-    pub fn observe(&mut self, rc: u8, rf: u8, ra: u8) {
-        let w = self.weight;
-        let key_rc = self.prev_rc as u32;
-        let mut found = false;
-        for entry in &mut self.trans_rc {
-            if entry.key == key_rc && entry.sym == rc {
-                entry.count += w;
-                found = true;
-                break;
-            }
-        }
-        if !found && self.trans_rc.len() < 256 {
-            self.trans_rc.push(SparseTransition { key: key_rc, sym: rc, count: w });
-        }
-
-        let key_rf = ((rc as u32) << 8) | (self.prev_rf as u32);
-        let mut found = false;
-        for entry in &mut self.trans_rf {
-            if entry.key == key_rf && entry.sym == rf {
-                entry.count += w;
-                found = true;
-                break;
-            }
-        }
-        if !found && self.trans_rf.len() < 256 {
-            self.trans_rf.push(SparseTransition { key: key_rf, sym: rf, count: w });
-        }
-
-        let key_ra = ((rc as u32) << 16) | ((rf as u32) << 8) | (self.prev_ra as u32);
-        let mut found = false;
-        for entry in &mut self.trans_ra {
-            if entry.key == key_ra && entry.sym == ra {
-                entry.count += w;
-                found = true;
-                break;
-            }
-        }
-        if !found && self.trans_ra.len() < 256 {
-            self.trans_ra.push(SparseTransition { key: key_ra, sym: ra, count: w });
-        }
-
-        self.prev_rc = rc;
-        self.prev_rf = rf;
-        self.prev_ra = ra;
-    }
-
-    pub fn get_cum_freqs_rc(&self, prev_rc: u8) -> Vec<u32> {
-        let mut freqs = vec![self.alpha; 256];
-        for entry in &self.trans_rc {
-            if entry.key == prev_rc as u32 {
-                freqs[entry.sym as usize] += entry.count;
-            }
-        }
-        let mut cum_freqs = vec![0; 257];
-        for i in 0..256 {
-            cum_freqs[i + 1] = cum_freqs[i] + freqs[i];
-        }
-        cum_freqs
-    }
-
-    pub fn get_cum_freqs_rf(&self, curr_rc: u8, prev_rf: u8) -> Vec<u32> {
-        let mut freqs = vec![self.alpha; 256];
-        let key = ((curr_rc as u32) << 8) | (prev_rf as u32);
-        for entry in &self.trans_rf {
-            if entry.key == key {
-                freqs[entry.sym as usize] += entry.count;
-            }
-        }
-        let mut cum_freqs = vec![0; 257];
-        for i in 0..256 {
-            cum_freqs[i + 1] = cum_freqs[i] + freqs[i];
-        }
-        cum_freqs
-    }
-
-    pub fn get_cum_freqs_ra(&self, curr_rc: u8, curr_rf: u8, prev_ra: u8) -> Vec<u32> {
-        let mut freqs = vec![self.alpha; 256];
-        let key = ((curr_rc as u32) << 16) | ((curr_rf as u32) << 8) | (prev_ra as u32);
-        for entry in &self.trans_ra {
-            if entry.key == key {
-                freqs[entry.sym as usize] += entry.count;
-            }
-        }
-        let mut cum_freqs = vec![0; 257];
-        for i in 0..256 {
-            cum_freqs[i + 1] = cum_freqs[i] + freqs[i];
-        }
-        cum_freqs
-    }
-}
-
-pub struct BitReader {
-    pub buffer: Vec<u8>,
-    pub bit_index: usize,
-    pub total_bits: usize,
-}
-
-impl BitReader {
-    pub fn new(buffer: Vec<u8>) -> Self {
-        let total_bits = buffer.len() * 8;
-        Self {
-            buffer,
-            bit_index: 0,
-            total_bits,
-        }
-    }
-
-    pub fn read_bit(&mut self) -> u8 {
-        if self.bit_index >= self.total_bits {
-            return 0;
-        }
-        let byte_pos = self.bit_index / 8;
-        let bit_pos = 7 - (self.bit_index % 8);
-        let bit = (self.buffer[byte_pos] >> bit_pos) & 1;
-        self.bit_index += 1;
-        bit
-    }
-}
-
-#[derive(Clone, Copy, PartialEq, Eq, Debug)]
-pub struct ConceptRadicals {
-    pub rc: u8,
-    pub rf: u8,
-    pub ra: u8,
-}
-
-pub fn read_varint(data: &[u8], state: &mut usize) -> usize {
-    let mut val = 0;
-    let mut shift = 0;
-    loop {
-        if *state >= data.len() {
-            break;
-        }
-        let b = data[*state] as usize;
-        *state += 1;
-        val |= (b & 0x7F) << shift;
-        if (b & 0x80) == 0 {
-            break;
-        }
-        shift += 7;
-    }
-    val
-}
-
-pub fn decompress_vocab(data: &[u8], num_tokens: usize) -> Vec<String> {
-    let mut tokens = Vec::new();
-    let mut state = 0;
-    let mut prev = String::new();
-    for _ in 0..num_tokens {
-        if state >= data.len() {
-            break;
-        }
-        let common = read_varint(data, &mut state);
-        let suffix_len = read_varint(data, &mut state);
-        if state + suffix_len > data.len() {
-            break;
-        }
-        let suffix_bytes = &data[state..state + suffix_len];
-        state += suffix_len;
-        
-        let suffix = String::from_utf8_lossy(suffix_bytes).into_owned();
-        let prefix = if common < prev.len() {
-            &prev[0..common]
-        } else {
-            &prev
-        };
-        let token = format!("{}{}", prefix, suffix);
-        tokens.push(token.clone());
-        prev = token;
-    }
-    tokens
-}
-
-pub fn decode(encoded_bytes: Vec<u8>, num_concepts: usize, alpha: u32, weight: u32) -> Vec<ConceptRadicals> {
-    let mut pred = RadicalPredictor::new(alpha, weight);
-    let mut r = BitReader::new(encoded_bytes);
-
-    let mut value: u32 = 0;
-    for _ in 0..32 {
-        value = (value << 1) | (r.read_bit() as u32);
-    }
-
-    let mut low: u32 = 0;
-    let mut high: u32 = 0xFFFFFFFF;
-    let mut decoded = Vec::with_capacity(num_concepts);
-
-    for _ in 0..num_concepts {
-        let prev_rc = pred.prev_rc;
-        let prev_rf = pred.prev_rf;
-        let prev_ra = pred.prev_ra;
-        let mut symbols = [0u8; 3];
-
-        for step in 0..3 {
-            let cum_freqs = match step {
-                0 => pred.get_cum_freqs_rc(prev_rc),
-                1 => pred.get_cum_freqs_rf(symbols[0], prev_rf),
-                _ => pred.get_cum_freqs_ra(symbols[0], symbols[1], prev_ra),
-            };
-
-            let total = cum_freqs[256] as u64;
-            let range_width = (high as u64) - (low as u64) + 1;
-            let scaled_val = (((value as u64 - low as u64) + 1) * total - 1) / range_width;
-
-            let mut sym = 0u8;
-            let mut l = 0i32;
-            let mut rr = 255i32;
-            while l <= rr {
-                let mid = (l + rr) / 2;
-                if (cum_freqs[mid as usize] as u64) <= scaled_val && scaled_val < (cum_freqs[(mid + 1) as usize] as u64) {
-                    sym = mid as u8;
-                    break;
-                } else if scaled_val >= (cum_freqs[(mid + 1) as usize] as u64) {
-                    l = mid + 1;
-                } else {
-                    rr = mid - 1;
-                }
-            }
-
-            symbols[step] = sym;
-            let cum_low = cum_freqs[sym as usize];
-            let cum_high = cum_freqs[(sym as usize) + 1];
-
-            high = low.wrapping_add(((range_width * cum_high as u64) / total) as u32).wrapping_sub(1);
-            low = low.wrapping_add(((range_width * cum_low as u64) / total) as u32);
-
-            loop {
-                if high < 0x80000000 {
-                    low <<= 1;
-                    high = (high << 1) | 1;
-                    value = (value << 1) | (r.read_bit() as u32);
-                } else if low >= 0x80000000 {
-                    low = (low - 0x80000000) << 1;
-                    high = ((high - 0x80000000) << 1) | 1;
-                    value = ((value - 0x80000000) << 1) | (r.read_bit() as u32);
-                } else if low >= 0x40000000 && high < 0xC0000000 {
-                    low = (low - 0x40000000) << 1;
-                    high = ((high - 0x40000000) << 1) | 1;
-                    value = ((value - 0x40000000) << 1) | (r.read_bit() as u32);
-                } else {
-                    break;
-                }
-            }
-        }
-
-        decoded.push(ConceptRadicals {
-            rc: symbols[0],
-            rf: symbols[1],
-            ra: symbols[2],
-        });
-        pred.observe(symbols[0], symbols[1], symbols[2]);
-    }
-    decoded
-}
-
-fn main() {
-    println!("======================================================================");
-    println!("ZYMATICA | Cross-Language Rust Decompressor & Range-Decoder");
-    println!("======================================================================\n");
-
-    let mut names_file = match File::open("Language-U-Browser/frameworks_names.bin") {
-        Ok(f) => f,
-        Err(_) => {
-            eprintln!("[!] Error: Language-U-Browser/frameworks_names.bin not found. Run run_ultimate_pipeline.py first.");
-            process::exit(1);
-        }
-    };
-    let mut coords_file = match File::open("Language-U-Browser/frameworks_coordinates.bin") {
-        Ok(f) => f,
-        Err(_) => {
-            eprintln!("[!] Error: Language-U-Browser/frameworks_coordinates.bin not found.");
-            process::exit(1);
-        }
-    };
-
-    let mut names_bytes = Vec::new();
-    names_file.read_to_end(&mut names_bytes).unwrap();
-
-    let mut coords_bytes = Vec::new();
-    coords_file.read_to_end(&mut coords_bytes).unwrap();
-
-    // 1. Decompress vocab
-    let names = decompress_vocab(&names_bytes, 49);
-    println!("[1] Rust Vocab Decompression: SUCCESS ({} names restored).", names.len());
-
-    // 2. Formulate expected radicals
-    let mut expected = Vec::with_capacity(49);
-    for name in &names {
-        let mut domain = 1u8;
-        let lower = name.to_lowercase();
-        if lower.contains("pixi") || lower.contains("phaser") || lower.contains("away") || lower.contains("p5") {
-            domain = 2;
-        } else if lower.contains("scenejs") || lower.contains("glam") || lower.contains("deck") || lower.contains("cesium") || lower.contains("luma") || lower.contains("philo") {
-            domain = 7;
-        }
-        let rc = (domain << 4) | 2;
-        let rf = (1 << 4) | 2;
-        let ra = (15 << 4) | 12;
-        expected.push(ConceptRadicals { rc, rf, ra });
-    }
-
-    // 3. Decode radicals
-    let decoded = decode(coords_bytes, 49, 1, 128);
-    println!("[2] Rust Yang Range Decoder execution: SUCCESS.");
-
-    // 4. Match check
-    let mut match_ok = true;
-    for i in 0..49 {
-        if expected[i] != decoded[i] {
-            eprintln!("[!] Mismatch at index {} ({}): Expected RC={:02X}, RF={:02X}, RA={:02X} | Decoded RC={:02X}, RF={:02X}, RA={:02X}",
-                i, names[i], expected[i].rc, expected[i].rf, expected[i].ra, decoded[i].rc, decoded[i].rf, decoded[i].ra);
-            match_ok = false;
-            break;
-        }
-    }
-
-    if match_ok {
-        println!("\n[SUCCESS] Rust range-decoder verification: 100% MATCH!");
-    } else {
-        eprintln!("\n[ERROR] Rust dynamic coordinate check failed!");
-        process::exit(1);
-    }
-}
+// ZYMATICA | Language-U Cross-Language Verification Engine (Rust)
+// Watermark: ip zymatica.space | astronautshe.com
+
+use std::fs::File;
+use std::io::Read;
+use std::process;
+
+pub struct SparseTransition {
+    pub key: u32,
+    pub sym: u8,
+    pub count: u32,
+}
+
+pub struct RadicalPredictor {
+    pub alpha: u32,
+    pub weight: u32,
+    pub trans_rc: Vec<SparseTransition>,
+    pub trans_rf: Vec<SparseTransition>,
+    pub trans_ra: Vec<SparseTransition>,
+    pub prev_rc: u8,
+    pub prev_rf: u8,
+    pub prev_ra: u8,
+}
+
+impl RadicalPredictor {
+    pub fn new(alpha: u32, weight: u32) -> Self {
+        Self {
+            alpha,
+            weight,
+            trans_rc: Vec::new(),
+            trans_rf: Vec::new(),
+            trans_ra: Vec::new(),
+            prev_rc: 0,
+            prev_rf: 0,
+            prev_ra: 0,
+        }
+    }
+
+    pub fn observe(&mut self, rc: u8, rf: u8, ra: u8) {
+        let w = self.weight;
+        let key_rc = self.prev_rc as u32;
+        let mut found = false;
+        for entry in &mut self.trans_rc {
+            if entry.key == key_rc && entry.sym == rc {
+                entry.count += w;
+                found = true;
+                break;
+            }
+        }
+        if !found && self.trans_rc.len() < 256 {
+            self.trans_rc.push(SparseTransition { key: key_rc, sym: rc, count: w });
+        }
+
+        let key_rf = ((rc as u32) << 8) | (self.prev_rf as u32);
+        let mut found = false;
+        for entry in &mut self.trans_rf {
+            if entry.key == key_rf && entry.sym == rf {
+                entry.count += w;
+                found = true;
+                break;
+            }
+        }
+        if !found && self.trans_rf.len() < 256 {
+            self.trans_rf.push(SparseTransition { key: key_rf, sym: rf, count: w });
+        }
+
+        let key_ra = ((rc as u32) << 16) | ((rf as u32) << 8) | (self.prev_ra as u32);
+        let mut found = false;
+        for entry in &mut self.trans_ra {
+            if entry.key == key_ra && entry.sym == ra {
+                entry.count += w;
+                found = true;
+                break;
+            }
+        }
+        if !found && self.trans_ra.len() < 256 {
+            self.trans_ra.push(SparseTransition { key: key_ra, sym: ra, count: w });
+        }
+
+        self.prev_rc = rc;
+        self.prev_rf = rf;
+        self.prev_ra = ra;
+    }
+
+    pub fn get_cum_freqs_rc(&self, prev_rc: u8) -> Vec<u32> {
+        let mut freqs = vec![self.alpha; 256];
+        for entry in &self.trans_rc {
+            if entry.key == prev_rc as u32 {
+                freqs[entry.sym as usize] += entry.count;
+            }
+        }
+        let mut cum_freqs = vec![0; 257];
+        for i in 0..256 {
+            cum_freqs[i + 1] = cum_freqs[i] + freqs[i];
+        }
+        cum_freqs
+    }
+
+    pub fn get_cum_freqs_rf(&self, curr_rc: u8, prev_rf: u8) -> Vec<u32> {
+        let mut freqs = vec![self.alpha; 256];
+        let key = ((curr_rc as u32) << 8) | (prev_rf as u32);
+        for entry in &self.trans_rf {
+            if entry.key == key {
+                freqs[entry.sym as usize] += entry.count;
+            }
+        }
+        let mut cum_freqs = vec![0; 257];
+        for i in 0..256 {
+            cum_freqs[i + 1] = cum_freqs[i] + freqs[i];
+        }
+        cum_freqs
+    }
+
+    pub fn get_cum_freqs_ra(&self, curr_rc: u8, curr_rf: u8, prev_ra: u8) -> Vec<u32> {
+        let mut freqs = vec![self.alpha; 256];
+        let key = ((curr_rc as u32) << 16) | ((curr_rf as u32) << 8) | (prev_ra as u32);
+        for entry in &self.trans_ra {
+            if entry.key == key {
+                freqs[entry.sym as usize] += entry.count;
+            }
+        }
+        let mut cum_freqs = vec![0; 257];
+        for i in 0..256 {
+            cum_freqs[i + 1] = cum_freqs[i] + freqs[i];
+        }
+        cum_freqs
+    }
+}
+
+pub struct BitReader {
+    pub buffer: Vec<u8>,
+    pub bit_index: usize,
+    pub total_bits: usize,
+}
+
+impl BitReader {
+    pub fn new(buffer: Vec<u8>) -> Self {
+        let total_bits = buffer.len() * 8;
+        Self {
+            buffer,
+            bit_index: 0,
+            total_bits,
+        }
+    }
+
+    pub fn read_bit(&mut self) -> u8 {
+        if self.bit_index >= self.total_bits {
+            return 0;
+        }
+        let byte_pos = self.bit_index / 8;
+        let bit_pos = 7 - (self.bit_index % 8);
+        let bit = (self.buffer[byte_pos] >> bit_pos) & 1;
+        self.bit_index += 1;
+        bit
+    }
+}
+
+#[derive(Clone, Copy, PartialEq, Eq, Debug)]
+pub struct ConceptRadicals {
+    pub rc: u8,
+    pub rf: u8,
+    pub ra: u8,
+}
+
+pub fn read_varint(data: &[u8], state: &mut usize) -> usize {
+    let mut val = 0;
+    let mut shift = 0;
+    loop {
+        if *state >= data.len() {
+            break;
+        }
+        let b = data[*state] as usize;
+        *state += 1;
+        val |= (b & 0x7F) << shift;
+        if (b & 0x80) == 0 {
+            break;
+        }
+        shift += 7;
+    }
+    val
+}
+
+pub fn decompress_vocab(data: &[u8], num_tokens: usize) -> Vec<String> {
+    let mut tokens = Vec::new();
+    let mut state = 0;
+    let mut prev = String::new();
+    for _ in 0..num_tokens {
+        if state >= data.len() {
+            break;
+        }
+        let common = read_varint(data, &mut state);
+        let suffix_len = read_varint(data, &mut state);
+        if state + suffix_len > data.len() {
+            break;
+        }
+        let suffix_bytes = &data[state..state + suffix_len];
+        state += suffix_len;
+        
+        let suffix = String::from_utf8_lossy(suffix_bytes).into_owned();
+        let prefix = if common < prev.len() {
+            &prev[0..common]
+        } else {
+            &prev
+        };
+        let token = format!("{}{}", prefix, suffix);
+        tokens.push(token.clone());
+        prev = token;
+    }
+    tokens
+}
+
+pub fn decode(encoded_bytes: Vec<u8>, num_concepts: usize, alpha: u32, weight: u32) -> Vec<ConceptRadicals> {
+    let mut pred = RadicalPredictor::new(alpha, weight);
+    let mut r = BitReader::new(encoded_bytes);
+
+    let mut value: u32 = 0;
+    for _ in 0..32 {
+        value = (value << 1) | (r.read_bit() as u32);
+    }
+
+    let mut low: u32 = 0;
+    let mut high: u32 = 0xFFFFFFFF;
+    let mut decoded = Vec::with_capacity(num_concepts);
+
+    for _ in 0..num_concepts {
+        let prev_rc = pred.prev_rc;
+        let prev_rf = pred.prev_rf;
+        let prev_ra = pred.prev_ra;
+        let mut symbols = [0u8; 3];
+
+        for step in 0..3 {
+            let cum_freqs = match step {
+                0 => pred.get_cum_freqs_rc(prev_rc),
+                1 => pred.get_cum_freqs_rf(symbols[0], prev_rf),
+                _ => pred.get_cum_freqs_ra(symbols[0], symbols[1], prev_ra),
+            };
+
+            let total = cum_freqs[256] as u64;
+            let range_width = (high as u64) - (low as u64) + 1;
+            let scaled_val = (((value as u64 - low as u64) + 1) * total - 1) / range_width;
+
+            let mut sym = 0u8;
+            let mut l = 0i32;
+            let mut rr = 255i32;
+            while l <= rr {
+                let mid = (l + rr) / 2;
+                if (cum_freqs[mid as usize] as u64) <= scaled_val && scaled_val < (cum_freqs[(mid + 1) as usize] as u64) {
+                    sym = mid as u8;
+                    break;
+                } else if scaled_val >= (cum_freqs[(mid + 1) as usize] as u64) {
+                    l = mid + 1;
+                } else {
+                    rr = mid - 1;
+                }
+            }
+
+            symbols[step] = sym;
+            let cum_low = cum_freqs[sym as usize];
+            let cum_high = cum_freqs[(sym as usize) + 1];
+
+            high = low.wrapping_add(((range_width * cum_high as u64) / total) as u32).wrapping_sub(1);
+            low = low.wrapping_add(((range_width * cum_low as u64) / total) as u32);
+
+            loop {
+                if high < 0x80000000 {
+                    low <<= 1;
+                    high = (high << 1) | 1;
+                    value = (value << 1) | (r.read_bit() as u32);
+                } else if low >= 0x80000000 {
+                    low = (low - 0x80000000) << 1;
+                    high = ((high - 0x80000000) << 1) | 1;
+                    value = ((value - 0x80000000) << 1) | (r.read_bit() as u32);
+                } else if low >= 0x40000000 && high < 0xC0000000 {
+                    low = (low - 0x40000000) << 1;
+                    high = ((high - 0x40000000) << 1) | 1;
+                    value = ((value - 0x40000000) << 1) | (r.read_bit() as u32);
+                } else {
+                    break;
+                }
+            }
+        }
+
+        decoded.push(ConceptRadicals {
+            rc: symbols[0],
+            rf: symbols[1],
+            ra: symbols[2],
+        });
+        pred.observe(symbols[0], symbols[1], symbols[2]);
+    }
+    decoded
+}
+
+fn main() {
+    println!("======================================================================");
+    println!("ZYMATICA | Cross-Language Rust Decompressor & Range-Decoder");
+    println!("======================================================================\n");
+
+    let mut names_file = match File::open("frameworks_names.bin") {
+        Ok(f) => f,
+        Err(_) => {
+            eprintln!("[!] Error: frameworks_names.bin not found. Run run_ultimate_pipeline.py first.");
+            process::exit(1);
+        }
+    };
+    let mut coords_file = match File::open("frameworks_coordinates.bin") {
+        Ok(f) => f,
+        Err(_) => {
+            eprintln!("[!] Error: frameworks_coordinates.bin not found.");
+            process::exit(1);
+        }
+    };
+
+    let mut names_bytes = Vec::new();
+    names_file.read_to_end(&mut names_bytes).unwrap();
+
+    let mut coords_bytes = Vec::new();
+    coords_file.read_to_end(&mut coords_bytes).unwrap();
+
+    // 1. Decompress vocab
+    let names = decompress_vocab(&names_bytes, 49);
+    println!("[1] Rust Vocab Decompression: SUCCESS ({} names restored).", names.len());
+
+    // 2. Formulate expected radicals
+    let mut expected = Vec::with_capacity(49);
+    for name in &names {
+        let mut domain = 1u8;
+        let lower = name.to_lowercase();
+        if lower.contains("pixi") || lower.contains("phaser") || lower.contains("away") || lower.contains("p5") {
+            domain = 2;
+        } else if lower.contains("scenejs") || lower.contains("glam") || lower.contains("deck") || lower.contains("cesium") || lower.contains("luma") || lower.contains("philo") {
+            domain = 7;
+        }
+        let rc = (domain << 4) | 2;
+        let rf = (1 << 4) | 2;
+        let ra = (15 << 4) | 12;
+        expected.push(ConceptRadicals { rc, rf, ra });
+    }
+
+    // 3. Decode radicals
+    let decoded = decode(coords_bytes, 49, 1, 128);
+    println!("[2] Rust Yang Range Decoder execution: SUCCESS.");
+
+    // 4. Match check
+    let mut match_ok = true;
+    for i in 0..49 {
+        if expected[i] != decoded[i] {
+            eprintln!("[!] Mismatch at index {} ({}): Expected RC={:02X}, RF={:02X}, RA={:02X} | Decoded RC={:02X}, RF={:02X}, RA={:02X}",
+                i, names[i], expected[i].rc, expected[i].rf, expected[i].ra, decoded[i].rc, decoded[i].rf, decoded[i].ra);
+            match_ok = false;
+            break;
+        }
+    }
+
+    if match_ok {
+        println!("\n[SUCCESS] Rust range-decoder verification: 100% MATCH!");
+    } else {
+        eprintln!("\n[ERROR] Rust dynamic coordinate check failed!");
+        process::exit(1);
+    }
+}