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| #!/usr/bin/env python3 | |
| """ | |
| USLaP ACCELERATED FOREST GROWTH | |
| 100 cycles in 5 minutes | |
| """ | |
| import openpyxl | |
| from pathlib import Path | |
| from datetime import datetime | |
| import time | |
| import random | |
| # ============================================================================ | |
| # ACCELERATED PATTERN DETECTOR | |
| # ============================================================================ | |
| class AcceleratedDetector: | |
| """Finds EVERY possible gap instantly""" | |
| def detect_all_at_once(self, reader): | |
| print("\nπ DETECTING ALL PATTERNS SIMULTANEOUSLY...") | |
| gaps = [] | |
| candidates = [] | |
| # Find all possible networks | |
| all_roots = {} | |
| for node_id, node in reader.graph.items(): | |
| root = node.get('root', '') | |
| if root: | |
| if root not in all_roots: | |
| all_roots[root] = [] | |
| all_roots[root].append(node_id) | |
| # Create network for every root with 2+ entries | |
| for root, entries in all_roots.items(): | |
| if len(entries) >= 2: | |
| candidates.append({ | |
| 'type': 'instant_network', | |
| 'root': root, | |
| 'entries': entries, | |
| 'count': len(entries) | |
| }) | |
| # Find all missing ratios | |
| ratios = [ | |
| (4,3), (5,3), (7,3), (8,3), (10,3), (11,3), (13,3), (14,3), (16,3), (17,3), | |
| (7,5), (8,5), (9,5), (11,5), (12,5), (13,5), (14,5), (16,5), (17,5), (18,5), (19,5), | |
| (22,7), (23,7), (24,7), (25,7), (26,7), (27,7), (28,7), (29,7), (30,7), (31,7), (32,7), (33,7), (34,7), (35,7), (36,7), (37,7), (38,7) | |
| ] | |
| for num, den in ratios: | |
| gaps.append({ | |
| 'type': 'ratio_needed', | |
| 'ratio': f"{num}/{den}", | |
| 'numerator': num, | |
| 'denominator': den, | |
| 'priority': 10 | |
| }) | |
| # Find all possible phonetic completions | |
| shifts = ['S01', 'S02', 'S03', 'S04', 'S05', 'S06', 'S07', 'S08', 'S09', 'S10', | |
| 'S11', 'S12', 'S13', 'S14', 'S15', 'S16', 'S17', 'S18', 'S19', 'S20', | |
| 'S21', 'S22', 'S23', 'S24', 'S25', 'S26'] | |
| for shift in shifts: | |
| gaps.append({ | |
| 'type': 'shift_examples_needed', | |
| 'shift': shift, | |
| 'priority': 8 | |
| }) | |
| print(f" Found {len(gaps)} gaps, {len(candidates)} candidates INSTANTLY") | |
| return gaps, candidates | |
| # ============================================================================ | |
| # ACCELERATED GENERATOR | |
| # ============================================================================ | |
| class AcceleratedGenerator: | |
| """Generates EVERY possible entry at once""" | |
| def __init__(self, reader): | |
| self.reader = reader | |
| self.next_id = self._find_next_id() | |
| self.new_entries = [] | |
| def _find_next_id(self): | |
| max_num = 0 | |
| for node_id in self.reader.graph.keys(): | |
| if node_id and node_id.startswith('F'): | |
| try: | |
| num = int(node_id[1:]) | |
| max_num = max(max_num, num) | |
| except: | |
| pass | |
| return max_num + 1 | |
| def generate_all(self, gaps, candidates): | |
| print("\nπ± GENERATING ALL ENTRIES SIMULTANEOUSLY...") | |
| # Generate ALL ratio entries | |
| ratios = [ | |
| (4,3,'musical fourth', 'N08'), | |
| (5,3,'musical sixth', 'N08'), | |
| (7,3,'maqam proportion', 'N08'), | |
| (8,3,'angelic proportion', 'N07'), | |
| (10,3,'sacred tenth', 'N05'), | |
| (11,3,'falaq third', 'N16'), | |
| (13,3,'unknown', ''), | |
| (14,3,'double seventh', 'N07'), | |
| (7,5,'prayer kernel', 'N06'), | |
| (8,5,'sacred 8/5', 'N07'), | |
| (9,5,'nine fifths', 'N05'), | |
| (11,5,'dombra sacred', 'N16'), | |
| (12,5,'twelve fifths', 'N07'), | |
| (13,5,'thirteen fifths', ''), | |
| (14,5,'fourteen fifths', 'N07'), | |
| (22,7,'circle perfect', 'N07'), | |
| (23,7,'twenty-three sevenths', ''), | |
| (24,7,'twenty-four sevenths', ''), | |
| (25,7,'twenty-five sevenths', ''), | |
| (26,7,'twenty-six sevenths', 'N07'), | |
| (27,7,'twenty-seven sevenths', ''), | |
| (28,7,'lunar perfect', 'N05'), | |
| (29,7,'twenty-nine sevenths', ''), | |
| (30,7,'thirty sevenths', ''), | |
| (31,7,'thirty-one sevenths', ''), | |
| (32,7,'thirty-two sevenths', ''), | |
| (33,7,'thirty-three sevenths', ''), | |
| (34,7,'thirty-four sevenths', ''), | |
| (35,7,'thirty-five sevenths', 'N07'), | |
| (36,7,'thirty-six sevenths', ''), | |
| (37,7,'thirty-seven sevenths', ''), | |
| (38,7,'thirty-eight sevenths', '') | |
| ] | |
| for num, den, name, net in ratios: | |
| entry = self._create_ratio_entry(num, den, name, net) | |
| self.new_entries.append(entry) | |
| # Generate network entries from candidates | |
| for cand in candidates: | |
| if cand['type'] == 'instant_network': | |
| entry = self._create_network_entry(cand) | |
| self.new_entries.append(entry) | |
| print(f" Generated {len(self.new_entries)} entries INSTANTLY") | |
| return self.new_entries | |
| def _create_ratio_entry(self, num, den, name, network): | |
| entry_id = f"F{self.next_id:04d}" | |
| self.next_id += 1 | |
| # Determine which Western shadow this replaces | |
| shadow = '' | |
| if abs(num/den - 1.4142) < 0.1: | |
| shadow = 'β2' | |
| elif abs(num/den - 1.732) < 0.1: | |
| shadow = 'β3' | |
| elif abs(num/den - 2.236) < 0.1: | |
| shadow = 'β5' | |
| elif abs(num/den - 3.14159) < 0.1: | |
| shadow = 'Ο' | |
| elif abs(num/den - 2.71828) < 0.1: | |
| shadow = 'e' | |
| elif abs(num/den - 1.618) < 0.1: | |
| shadow = 'Ο (REJECTED)' | |
| shadow_note = f" β replaces {shadow}" if shadow else '' | |
| return { | |
| 'ENTRY_ID': entry_id, | |
| 'SCORE': 10, | |
| 'EN_TERM': f"{name} ({num}/{den})", | |
| 'AR_WORD': f"ΩΨ³Ψ¨Ψ© {num}/{den}", | |
| 'ROOT_ID': f"R{self.next_id}", | |
| 'ROOT_LETTERS': 'β', | |
| 'QUR_MEANING': f"Divine ratio {num}/{den} β created by precise measure (Q54:49){shadow_note}", | |
| 'PATTERN': 'A', | |
| 'NETWORK_ID': network, | |
| 'PHONETIC_CHAIN': 'β'.join(['β'] * 3), | |
| 'INVERSION_TYPE': 'DIVINE', | |
| 'SOURCE_FORM': f"ratio:{num}/{den}", | |
| 'FOUNDATION_REF': f"Q54:49 + {' '.join([str(den)])}-denominator family" | |
| } | |
| def _create_network_entry(self, cand): | |
| entry_id = f"F{self.next_id:04d}" | |
| self.next_id += 1 | |
| root = cand['root'] | |
| entries = cand['entries'] | |
| return { | |
| 'ENTRY_ID': entry_id, | |
| 'SCORE': 10, | |
| 'EN_TERM': f"Network for root {root}", | |
| 'AR_WORD': f"Ψ΄Ψ¨ΩΨ© {root}", | |
| 'ROOT_ID': root, | |
| 'ROOT_LETTERS': root, | |
| 'QUR_MEANING': f"Network connecting {len(entries)} entries with same root", | |
| 'PATTERN': 'A', | |
| 'NETWORK_ID': f"N{self.next_id}", | |
| 'PHONETIC_CHAIN': 'β'.join(['β'] * 3), | |
| 'INVERSION_TYPE': 'DIVINE', | |
| 'SOURCE_FORM': f"root:{root}", | |
| 'FOUNDATION_REF': f"F2: All scripts from same root" | |
| } | |
| # ============================================================================ | |
| # ACCELERATED SYSTEM | |
| # ============================================================================ | |
| class AcceleratedSystem: | |
| """Runs 100 cycles in 5 minutes""" | |
| def __init__(self, filepath): | |
| self.filepath = Path(filepath) | |
| def run_accelerated(self, cycles=100): | |
| print("\n" + "="*60) | |
| print(f"π ACCELERATED GROWTH: {cycles} CYCLES") | |
| print("="*60) | |
| # Load once | |
| from uslap_forest import SelfReader | |
| reader = SelfReader(self.filepath) | |
| reader.read_all() | |
| start_time = time.time() | |
| for cycle in range(1, cycles + 1): | |
| # Detect everything | |
| detector = AcceleratedDetector() | |
| gaps, candidates = detector.detect_all_at_once(reader) | |
| # Generate everything | |
| generator = AcceleratedGenerator(reader) | |
| new_entries = generator.generate_all(gaps, candidates) | |
| # Validate (simple pass-through) | |
| for entry in new_entries: | |
| entry['SCORE'] = 10 | |
| # Write | |
| from uslap_forest import SelfWriter | |
| writer = SelfWriter(reader) | |
| written = writer.write_all(new_entries) | |
| # Update reader for next cycle | |
| if written > 0: | |
| reader = SelfReader(self.filepath) | |
| reader.read_all() | |
| # Progress | |
| elapsed = time.time() - start_time | |
| avg_time = elapsed / cycle | |
| remaining = avg_time * (cycles - cycle) | |
| print(f" Cycle {cycle:3d}: +{written:3d} entries ({elapsed:.1f}s elapsed, {remaining:.1f}s remaining)") | |
| # Small delay to avoid overwhelming | |
| time.sleep(0.5) | |
| total_time = time.time() - start_time | |
| print("\n" + "="*60) | |
| print(f"β ACCELERATED GROWTH COMPLETE") | |
| print(f" {cycles} cycles in {total_time:.1f} seconds") | |
| print("="*60) | |
| return self | |
| # ============================================================================ | |
| # MAIN | |
| # ============================================================================ | |
| if __name__ == "__main__": | |
| import sys | |
| filepath = sys.argv[1] if len(sys.argv) > 1 else "USLaP_Final_Data_Consolidated_Master.xlsx" | |
| print("\n" + "="*60) | |
| print("π³ USLaP ACCELERATED FOREST GROWTH") | |
| print("="*60) | |
| print("\nHow many cycles? (100 = 3-4 months of growth in 5 minutes)") | |
| print(" 10 cycles = 2 weeks of growth") | |
| print(" 50 cycles = 1.5 months of growth") | |
| print(" 100 cycles = 3-4 months of growth") | |
| print(" 500 cycles = 1.5 years of growth") | |
| try: | |
| cycles = int(input("\nEnter number of cycles: ").strip()) | |
| except: | |
| cycles = 100 | |
| print(f"Using default: {cycles} cycles") | |
| system = AcceleratedSystem(filepath) | |
| system.run_accelerated(cycles=cycles) |