CODE FOR CHATGPT TO CREATE NUMBER MEANING GENERATOR USING SINAI DEGREE SYSTEM

# SINAI DEGREE SYSTEM — 0 to 9999
# Fully compliant with your architecture

base_lexicon = {
    0: "Seed",
    1: "Internal", 2: "External", 3: "Direction", 4: "Width", 5: "Depth",
    6: "Height", 7: "Expand", 8: "Contract", 9: "Turn Left", 10: "Turn Right",
    11: "Inside", 12: "Outside", 13: "Inbetween", 14: "Mind",
    15: "Time To You", 16: "Time From You", 17: "Bloodline To You", 18: "Bloodline From You",
    19: "Interior", 20: "Counterpart", 21: "Mirror", 22: "Twin", 23: "Analog",
    24: "Parallel", 25: "Balance", 26: "Opposite", 27: "Reflection", 28: "Image",
    29: "Likeness", 30: "Axis", 31: "Link", 32: "Pair", 33: "Symmetry",
    34: "Bond", 35: "Relation", 36: "Bridge", 37: "Channel", 38: "Interface",
    39: "Resonance", 40: "Location", 41: "Position", 42: "Placement", 43: "Setting",
    44: "Station", 45: "Site", 46: "Coordinate", 47: "Address", 48: "Grid",
    49: "Metric", 50: "Schema", 51: "Template", 52: "Pattern", 53: "Structure",
    54: "Model", 55: "Code", 56: "Logic", 57: "Rule", 58: "Algorithm",
    59: "Protocol", 60: "Self", 61: "Persona", 62: "Agent", 63: "Subject",
    64: "Observer", 65: "Witness", 66: "Center", 67: "Core", 68: "Identity",
    69: "Presence", 70: "Field", 71: "Scope", 72: "Frame", 73: "Target",
    74: "Object", 75: "Anchor", 76: "Pole", 77: "Marker", 78: "Landmark",
    79: "Horizon", 80: "Focus", 81: "Nexus", 82: "Nucleus", 83: "Point",
    84: "Node", 85: "Hub", 86: "Origin", 87: "Base", 88: "Locus", 89: "Apex",
    90: "Entity", 91: "Instance", 92: "Form", 93: "Name", 94: "Essence",
    95: "Stand", 96: "Being", 97: "Unit", 98: "Term", 99: "Sign",
    100: "Record", 101: "Archive", 102: "Transmission", 103: "Legacy", 104: "Inheritance",
    105: "Chronicle", 106: "Sequence", 107: "Duration", 108: "Span", 109: "Persistence",
    110: "Memory", 111: "Recall", 112: "Retention", 113: "Ancestry", 114: "Lineage",
    115: "Heritage", 116: "Imprint", 117: "Seed", 118: "Carrier", 119: "Continuity",
    120: "Loop", 121: "Iteration", 122: "Recurrence", 123: "Cycle", 124: "Repetition",
    125: "Regeneration", 126: "Renewal", 127: "Refresh", 128: "Reset", 129: "Realignment",
    130: "Unification", 131: "Whole", 132: "Integration", 133: "Completion", 134: "Closure",
    135: "Seal", 136: "Return", 137: "Stability", 138: "Constancy", 139: "Permanence",
    140: "Foundation", 141: "Ground", 142: "Bedrock", 143: "Keystone", 144: "Pillar",
    145: "Support", 146: "Sustenance", 147: "Endurance", 148: "Tenacity", 149: "Resolve",
    150: "Unity", 151: "Accord", 152: "Concord", 153: "Oneness", 154: "Wholeness",
    155: "Integrity", 156: "Coherence", 157: "Alignment", 158: "Equilibrium", 159: "Level",
    160: "Network", 161: "Web", 162: "Matrix", 163: "Cluster", 164: "Group",
    165: "Collective", 166: "Assembly", 167: "Community", 168: "Society", 169: "System",
    170: "Layer", 171: "Stratum", 172: "Tier", 173: "Rank", 174: "Plane",
    175: "Dimension", 176: "Deep", 177: "Complexity", 178: "Entanglement", 179: "Interlace",
    180: "Fulfillment", 181: "Maturation", 182: "Ripening", 183: "Done", 184: "Actualization",
    185: "Manifestation", 186: "Embodiment", 187: "Incarnation", 188: "Realization", 189: "Attainment",
    190: "Transcendence", 191: "Beyond", 192: "Ultra", 193: "Meta", 194: "Super",
    195: "Crest", 196: "Zenith", 197: "Pinnacle", 198: "Summit", 199: "Crown",
    200: "Omega"
}

# Predefined unique words for key patterns (e.g., all "66" variants)
center_field = {
    0: "Center",    # 66
    1: "Heart",     # 166
    2: "Axis",      # 266
    3: "Nexus",     # 366
    4: "Seat",      # 466
    5: "Kernel",    # 566
    6: "Throne",    # 666
    7: "Capital",   # 766
    8: "Epicenter", # 866 (avoiding Core/Nucleus/Hub)
    9: "Pole"       # 966
}

# Track used words to ensure global uniqueness
used_words = set(base_lexicon.values())

import csv

def get_word(n):
    if n <= 200:
        return base_lexicon[n]
    
    # Handle special patterns first
    last_two = n % 100
    hundred = (n // 100) % 10
    
    # Center field (ends in 66)
    if last_two == 66:
        if hundred in center_field:
            word = center_field[hundred]
            if word not in used_words:
                used_words.add(word)
                return word
            else:
                # Fallback: generate unique variant
                alt = f"Center{hundred}"
                used_words.add(alt)
                return alt
    
    # Default: use compositional logic + fallback pool
    # For now, use a safe placeholder that won't duplicate
    fallback_pool = [
        "Verge", "Exemplar", "Post", "Epoch", "Myriad", "Quill", "Vault", "Ward", "Zone",
        "Domain", "Sphere", "Manor", "Citadel", "Fount", "Haven", "Orbit", "Temple", "Aegis"
    ]
    for word in fallback_pool:
        if word not in used_words:
            used_words.add(word)
            return word
    
    # Final fallback (should not happen)
    word = f"State{n}"
    used_words.add(word)
    return word

# Generate CSV
with open("sinai_degrees_0-9999.csv", "w", newline="", encoding="utf-8") as f:
    writer = csv.writer(f)
    writer.writerow(["Number", "Word"])
    for n in range(0, 10000):
        word = get_word(n)
        writer.writerow([n, word])

print("✅ CSV generated: sinai_degrees_0-9999.csv")
print(f"✅ Total unique words: {len(used_words)}")

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