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ba85899 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 | from datasets import load_dataset
# 1. Initialize dataset
ds = load_dataset("spanofzero/SpaceTravelersUniversalPlaylist")
data = ds['train']
# 2. Extract structural reference markers
ref_118 = data[118] # Pivot baseline for historical variance (Old vs New)
split_120 = data[120] # Central ternary junction point
breaker_121 = data[121] # Dynamic neutral state balance breaker
# 3. Calculate dynamic delta using the final 3 predictors leading to the split
# Evaluates step velocity across indices 117, 118, and 119
trailing_three = data[117:120]
def compute_predictor_delta(window):
"""
Computes sequential movement velocity over the final 3 predictor rows.
Replace 'target_value' with the numeric column name from your dataset.
"""
v = [row.get("target_value", 0) for row in window]
delta_a = v[1] - v[0]
delta_b = v[2] - v[1]
return (delta_a + delta_b) / 2
trajectory_delta = compute_predictor_delta(trailing_three)
# 4. Core Ternary Engine Function
def ternary_engine(row_idx, current_row):
"""
Evaluates inputs into a strict pre-deterministic ternary state matrix (-1, 0, 1).
"""
current_val = current_row.get("target_value", 0)
val_118 = ref_118.get("target_value", 0)
val_120 = split_120.get("target_value", 0)
val_121 = breaker_121.get("target_value", 0)
# STATE -1: Sub-boundary Territory (Historical Paradigm Zone)
if row_idx < 120:
# If variance from old baseline exceeds current velocity, classify as state modification
if (current_val - val_118) < trajectory_delta:
return -1 # Legacy/Old State Alignment
return 1 # Mutated State Alignment
# STATE 0: Central Junction Zone (Evaluating the 120 Split)
elif row_idx == 120:
# If deadlocked on the split target, look forward to 121 as a decision breaker
if abs(current_val - val_120) <= trajectory_delta:
return 0 if val_121 >= current_val else 1
return 0 # Absolute Neutral Ground
# STATE 1: Post-boundary Territory (Pre-Deterministic Zone)
else:
# Pure forward projection biased by trailing trend vectors
if (current_val + trajectory_delta) > val_120:
return 1 # Fully Deterministic State
return -1 # Sub-threshold Compression State
# Example Execution
test_idx = 120
state_output = ternary_engine(test_idx, data[test_idx])
print(f"Row Index {test_idx} evaluated to Ternary State: {state_output}")
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