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Text-to-Traversal Space Runner
Demonstrates the Input Mapping and the ConsciousStrand Engine processing
raw natural language into the perfectly sequenced 2D Atlas (Traversal Space).
"""
import sys
import os
sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
from computational_consciousness_engine.input_mapping import TextToChaosMapper
from computational_consciousness_engine.core import ConsciousStrand
PHILOSOPHICAL_TEXT = """
Reading the work on its own terms what emerges is a remarkably elegant synthesis
of existential philosophy topology and information theory. By rejecting the traditional
linear model of accumulation the text proposes a bounded fractal and cyclical ontology of consciousness.
Consciousness is not a straight line it is a geometric unfolding bounded by genesis and death.
"""
def run_text_mapping_demo():
print("=" * 70)
print("[SYSTEM] TEXT-TO-TRAVERSAL SPACE MAPPING DEMO")
print("=" * 70)
# 1. Input Mapping: Text -> Chaos Shards
print(f"\n[PHASE 1: INPUT MAPPING] Parsing raw text corpus...")
mapper = TextToChaosMapper()
chaos_pool = mapper.seed_chaos_pool(PHILOSOPHICAL_TEXT)
# Track the unique tokens ingested
unique_words = len(chaos_pool)
print(f" * Text ingested. Seeded Chaos Pool with {unique_words} unique semantic shards (m_k).")
# 2. Lifecycle Execution: Traversal (0 -> -1)
print(f"\n[PHASE 2: LIFECYCLE TRAVERSAL] Expanding the Dual-Cone Manifold...")
strand = ConsciousStrand(R_max=5.0)
# Simulate time flowing from t=0 to t=1.0
steps = 100
dt = 1.0 / steps
for _ in range(steps):
# The strand absorbs shards from the chaos pool as it travels
strand.process_step(dt, chaos_pool)
print(f" * Traversal complete. Bound Structure (Mutations Absorbed): {len(strand.bound_mutations)}")
# 3. Traversal Space Atlas
print(f"\n[PHASE 3: TRAVERSAL SPACE ATLAS (det J != 0)]")
atlas = strand.unfurl_traversal_space()
print(" * Manifold unrolled. Revealing the properly sequenced Phyllotactic mapping.")
print(f" * Parallel Lookup Matrix (First 10 shards):")
print(f"\n {'k':<4} | {'Token':<15} | {'m_k (Hash)':<15} || 2D Traversal (x, y) | 3D Dual-Cone (r, theta, z)")
print(" " + "-" * 105)
for k, data in enumerate(atlas[:10], start=1):
m_k = data["m_k"]
word = mapper.get_word(m_k)
x, y = data["2d_parallel"]["x"], data["2d_parallel"]["y"]
r, t, z = data["3d"]["r"], data["3d"]["theta"], data["3d"]["z"]
print(f" {k:<4} | {word:<15} | {m_k:<15} || ({x:>6.2f}, {y:>5.2f}) | ({r:>4.2f}, {t:>4.2f}, {z:>5.2f})")
if len(atlas) > 10:
print(f" ... (+ {len(atlas) - 10} more shards mapped collision-free)")
# 4. Dimensional Shift (Q Operator)
print(f"\n[PHASE 4: DIMENSIONAL SHIFT (Q Operator)]")
rebirth = strand.fold_rebirth()
print(f" * {rebirth['operator']}")
print(f" * Status: {rebirth['status']}")
print(f" * Mass (Capacity): {rebirth['accumulated_mass']}")
print("\n" + "=" * 70)
print("[SUCCESS] TEXT FULLY ABSORBED AND GEOMETRICALLY MAPPED")
print("=" * 70)
if __name__ == "__main__":
run_text_mapping_demo()
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