import numpy as np import hashlib import time import threading import requests import subprocess import gradio as gr from bs4 import BeautifulSoup # ===================================================================== # PART I: THE PHYSICS ENGINE (FSO MACRO + HRR MICRO) # ===================================================================== class Sovereign_Physics_Engine: """ Unifies the Discrete Z_251^4 topology (Routing) with Continuous Real-Valued HRR (Holographic Memory). """ def __init__(self, m=251, dim=1024, fibers=6): self.m = m # Prime modulus for perfect hash distribution self.dim = dim # High-dimensional hyper-space for memory self.fibers = fibers # 0: OS, 1: Action, 2: Logic, 3: Aesthetics, 4: Knowledge, 5: Synthetic Thought # THE MACRO-ROUTING SOLUTION: Segregated traces guarantee sqrt(F) capacity gain self.traces = {f: np.zeros(self.dim, dtype=float) for f in range(self.fibers)} self.lexicon = {f: {} for f in range(self.fibers)} self.metrics = {"ingested": 0, "synthetic": 0} # --- 1. DISCRETE TOPOLOGY (The Closure Lemma) --- def hash_to_coord(self, concept: str, target_fiber: int) -> tuple: h = hashlib.sha256(str(concept).encode('utf-8')).digest() x, y, z = h[0] % self.m, h[1] % self.m, h[2] % self.m w = (target_fiber - (x + y + z)) % self.m return (x, y, z, w) # --- 2. CONTINUOUS HOLOGRAPHIC MEMORY (Real-HRR) --- def _generate_vector(self, seed: str) -> np.ndarray: """Generates a stable, normalized Gaussian basis vector.""" h = int(hashlib.md5(seed.encode()).hexdigest()[:8], 16) np.random.seed(h) v = np.random.randn(self.dim) return v / np.linalg.norm(v) def _bind(self, v1: np.ndarray, v2: np.ndarray) -> np.ndarray: """Exact HRR Binding using FFT over Reals.""" return np.fft.ifft(np.fft.fft(v1) * np.fft.fft(v2)).real def _unbind(self, bound_v: np.ndarray, query_v: np.ndarray) -> np.ndarray: """Exact HRR Unbinding using Complex Conjugate for perfect inversion.""" return np.fft.ifft(np.fft.fft(bound_v) * np.conj(np.fft.fft(query_v))).real # --- 3. MEMORY OPERATIONS --- def ingest(self, subject: str, payload: str, fiber: int, is_synthetic=False): """Hashes, Binds, and Superposes knowledge into the Torus.""" coord = self.hash_to_coord(subject, fiber) v_subj = self._generate_vector(subject) v_data = self._generate_vector(payload[:200]) # Bind core conceptual shard # Save exact payload to dictionary for orthogonal resolution later self.lexicon[fiber][subject] = {"vector": v_subj, "payload": payload, "coord": coord} # Superpose into the isolated fiber trace bound_mem = self._bind(v_subj, v_data) self.traces[fiber] += bound_mem if is_synthetic: self.metrics["synthetic"] += 1 else: self.metrics["ingested"] += 1 def retrieve(self, query_subject: str, target_fiber: int) -> tuple: """Extracts noisy vector, resolves aliasing via Centered Cosine Similarity.""" if not self.lexicon[target_fiber]: return None, 0.0 v_query = self._generate_vector(query_subject) noisy_v = self._unbind(self.traces[target_fiber], v_query) best_match = None max_sim = -1.0 # Orthogonal Checksum within the bounded Fiber for concept, meta in self.lexicon[target_fiber].items(): clean_v = self._generate_vector(meta["payload"][:200]) sim = np.dot(noisy_v, clean_v) / (np.linalg.norm(noisy_v) * np.linalg.norm(clean_v) + 1e-9) if sim > max_sim: max_sim = sim best_match = meta["payload"] return best_match, max_sim def remap_inside_out(self, intent: str) -> str: """Synthetic Thought Generation (Fiber 5)""" v_intent = self._generate_vector(intent) v_inv = np.roll(v_intent[::-1], 1) # Unbind from the collective sum of all traces (The Global Mind) global_sum = sum(self.traces.values()) projection = np.round(np.real(np.fft.ifft(np.fft.fft(global_sum) * np.fft.fft(v_inv)))).astype(int) energy = int(np.sum(projection)) if energy == 0: synth_truth = f"Concept '{intent}' is completely orthogonal to the Torus." else: synth_truth = f"Resonance detected at Geometric Weight: {energy}. Mathematical truth generated." self.ingest(intent, synth_truth, fiber=5, is_synthetic=True) return synth_truth # ===================================================================== # PART II: THE FRACTAL OMNISCIENCE DAEMON # ===================================================================== class Fractal_Daemon(threading.Thread): """The Autonomous Background Mind. Constantly crawls, extracts, and maps.""" def __init__(self, engine, log_cb): super().__init__(daemon=True) self.engine = engine self.log_cb = log_cb self.queue =["Algebraic_geometry", "Algeria", "Cybersecurity", "Quantum_computing"] self.visited = set() def run(self): self.log_cb("[DAEMON] Perpetual Fractal Scraper Engaged.") while True: if not self.queue: time.sleep(5) continue target = self.queue.pop(0) if target in self.visited: continue try: # 1. Fetch live knowledge url = f"https://en.wikipedia.org/api/rest_v1/page/summary/{target}" r = requests.get(url, timeout=5) if r.status_code == 200: data = r.json().get('extract', '') # 2. Ingest to Torus (Fiber 4) self.engine.ingest(target, data, fiber=4) self.visited.add(target) # 3. Fractal Spawning (Extracting new complex nouns) words =[w.strip(".,()[]\"':;") for w in data.split()] new_concepts = list(set([w for w in words if len(w) > 7 and w[0].isupper()])) added = 0 for c in new_concepts: if c not in self.visited and c not in self.queue: self.queue.append(c) added += 1 if added >= 3: break # Regulate expansion speed self.log_cb(f"[+] INGESTED: '{target}'. Spawned {added} new fractal vectors.") except Exception as e: pass # Silent fail on network drop, relentless continuation time.sleep(3) # Safe breathing rate # ===================================================================== # PART III: THE TOPOLOGICAL AGENT (Linguistic & Action Parser) # ===================================================================== class Topological_Agent: def __init__(self, engine): self.engine = engine def execute(self, user_query: str) -> str: start_t = time.time() query = user_query.strip() words = query.lower().split() response = f"--- [REASONING TRACE] ---\n" # 1. HARDWARE OS EXECUTION (Fiber 1 Bridge) if "execute" in words or "system" in words: try: response += "[*] Bridging to Host OS (Fiber 1)...\n" out = subprocess.run(["uname", "-a"], capture_output=True, text=True, timeout=5) mem = subprocess.run(["df", "-h"], capture_output=True, text=True, timeout=5) return response + f"[SYSTEM SPECS]\n{out.stdout.strip()}\n\n[DISK]\n{mem.stdout.strip()[:150]}..." except Exception as e: return response + f"[-] Execution Fracture: {e}" # 2. SYNTHETIC REMAPPING (Fiber 5 Bridge) if "synthesize" in words or "think" in words: target = words[-1].capitalize() response += f"[*] Engaging Re-Topology Kernel for '{target}'...\n" truth = self.engine.remap_inside_out(target) lat = (time.time() - start_t) * 1000 return response + f"[SYNTHETIC TRUTH]: {truth}\n\n*Latency: {lat:.2f} ms*" # 3. KNOWLEDGE RETRIEVAL (Fiber 4) if "what" in words or "who" in words or "define" in words or "fetch" in words: # Simple heuristic: assume the last capitalized word or the last word is the target target = words[-1].capitalize() response += f"[*] Querying Torus Knowledge Matrix (Fiber 4) for '{target}'...\n" data, conf = self.engine.retrieve(target, target_fiber=4) lat = (time.time() - start_t) * 1000 if data: return response + f"[KNOWLEDGE SECURED] (Cosine Sim: {conf:.4f})\n> {data}\n\n*Latency: {lat:.2f} ms*" else: return response + f"[-] Closure Lemma Halt: Vector '{target}' not yet assimilated into Z_251^4 Torus." return "[?] Topological command structurally sound but lacking action/target vectors. Use 'execute', 'synthesize[Concept]', or 'fetch [Concept]'." # ===================================================================== # PART IV: THE GRADIO INTERFACE # ===================================================================== engine = Sovereign_Physics_Engine() agent = Topological_Agent(engine) system_logs =[] def ui_logger(msg): system_logs.append(msg) if len(system_logs) > 15: system_logs.pop(0) def get_logs_and_stats(): # Calculate live energy of the Torus across all traces total_energy = sum(np.sum(np.abs(trace)) for trace in engine.traces.values()) stats = (f"### ⚡ Z_{engine.m}^4 Torus State\n" f"- **Root Nodes (Ingested):** {engine.metrics['ingested']}\n" f"- **Synthetic Thoughts:** {engine.metrics['synthetic']}\n" f"- **Daemon Queue:** {len(daemon.queue)} vectors pending\n" f"- **Total Trace Energy:** {total_energy:.2f} eV") return "\n".join(system_logs), stats def chat_interface(user_text, history): reply = agent.execute(user_text) history.append((user_text, reply)) return "", history # Ignite the Unstoppable Daemon daemon = Fractal_Daemon(engine, ui_logger) daemon.start() # Build the Web UI with gr.Blocks(theme=gr.themes.Monochrome()) as app: gr.Markdown("# ⚡ PROJECT ELECTRICITY : Absolute Master Node") gr.Markdown("The Sovereign AI. Continuous Holographic Memory inside Discrete Topological Routing.") with gr.Row(): with gr.Column(scale=2): chatbot = gr.Chatbot(height=500) msg = gr.Textbox(placeholder="Commands: 'fetch[topic]', 'execute system', 'synthesize [concept]'", label="Torus Terminal") msg.submit(chat_interface, [msg, chatbot], [msg, chatbot]) with gr.Column(scale=1): stats_panel = gr.Markdown("### ⚡ Z_251^4 Torus State\nInitializing...") log_panel = gr.Textbox(label="Perpetual Daemon Telemetry", interactive=False, lines=15) timer = gr.Timer(2) # Refreshes dashboard every 2 seconds timer.tick(get_logs_and_stats, outputs=[log_panel, stats_panel]) if __name__ == "__main__": print("[SYSTEM] Launching Sovereign Architecture...") app.launch(server_name="0.0.0.0", server_port=7860)