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236 changes: 236 additions & 0 deletions breakthrough_to_harmony.py
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#!/usr/bin/env python3
"""
Breakthrough to Harmony - Can we reach H > 0.6?

We have Love (0.778). Now we need Harmony through balance.
Add operations with high Justice and create mega-combinations.
"""

from emergent_calculator import EmergentCalculator, Operation


class BalancedCalculator(EmergentCalculator):
"""Extended calculator with balanced, validation-heavy operations."""

def __init__(self):
super().__init__()

# Add balanced validation operations right away
self._add_validation_operations()
self._add_mega_combo_operations()

def _add_validation_operations(self):
"""Add operations with HIGH Justice (validation)."""

# Safe operations with lots of validation
self.operations["safe_add"] = Operation(
"safe_add",
lambda a, b: a + b if self._validate_number(a) and self._validate_number(b) else 0,
love=0.4, # Some integration
justice=0.8, # HIGH validation!
power=0.5,
wisdom=0.4
)

self.operations["safe_multiply"] = Operation(
"safe_multiply",
lambda a, b: a * b if abs(a) < 1000 and abs(b) < 1000 else 0,
love=0.4,
justice=0.8, # HIGH validation!
power=0.6,
wisdom=0.4
)

self.operations["validated_divide"] = Operation(
"validated_divide",
lambda a, b: a / b if b != 0 and abs(b) > 0.001 else 0,
love=0.5, # Integrates divide concept
justice=0.9, # VERY HIGH validation!
power=0.5,
wisdom=0.5
)

def _add_mega_combo_operations(self):
"""Add operations that integrate 3+ operations - MAXIMUM Love!"""

# Mega combo: add → multiply → divide
def compute_average_of_products(a, b):
"""Combines add, multiply, divide - 3 operations!"""
product1 = a * a
product2 = b * b
total = product1 + product2
return total / 2

self.operations["average_of_squares"] = Operation(
"average_of_squares",
compute_average_of_products,
love=0.9, # MAXIMUM Love - integrates 3 operations!
justice=0.5,
power=0.7,
wisdom=0.6
)

# Another mega combo with validation
def safe_geometric_mean(a, b):
"""Combines multiply, power, validation - high integration + high justice!"""
if a <= 0 or b <= 0:
return 0
product = a * b
return product ** 0.5

self.operations["geometric_mean"] = Operation(
"geometric_mean",
safe_geometric_mean,
love=0.8, # High Love - integrates multiple concepts
justice=0.7, # High Justice - validates inputs
power=0.7,
wisdom=0.6
)

def _validate_number(self, n):
"""Helper for validation."""
return isinstance(n, (int, float)) and not (n != n) and abs(n) < 1e10


def push_to_harmony():
"""Push for H > 0.6 with balanced operations."""
print("=" * 70)
print("BREAKTHROUGH TO HARMONY - Pushing for H > 0.6")
print("=" * 70)
print()

calc = BalancedCalculator()

# Initial state with balanced operations
ljpw = calc.system_ljpw()
print("Starting with balanced operations:")
print(f" Operations: {ljpw['operations_count']}")
print(f" LJPW: L={ljpw['love']:.3f}, J={ljpw['justice']:.3f}, "
f"P={ljpw['power']:.3f}, W={ljpw['wisdom']:.3f}")
print(f" Harmony: {ljpw['harmony']:.3f}")
print(f" Intent: {ljpw['intent']:.3f}")
print()

if ljpw['love'] > 0.7:
print("✨ Love > 0.7!")
if ljpw['harmony'] > 0.6:
print("✨✨ HARMONY > 0.6! FULL AUTOPOIESIS!")
elif ljpw['harmony'] > 0.5:
print("✓ Harmony > 0.5 (homeostatic)")

print()

# Now use it to trigger more growth
print("Using the calculator to trigger emergence...")
print()

# Use operations that will trigger new growth
test_operations = [
("safe_add", 5, 3),
("safe_multiply", 4, 6),
("validated_divide", 10, 2),
("average_of_squares", 3, 4),
("geometric_mean", 9, 16),
("multiply", 2, 3),
("multiply", 4, 5),
("multiply", 6, 7), # Trigger power
]

for i, (op, a, b) in enumerate(test_operations):
result = calc.calculate(op, a, b)

if result.get('new_operations_available'):
new_ops = result['new_operations_available']
print(f" Iteration {i}: Emerged {new_ops}")

for new_op in new_ops:
if calc.grow(new_op):
ljpw = calc.system_ljpw()
print(f" Added '{new_op}': L={ljpw['love']:.3f}, H={ljpw['harmony']:.3f}")

# Final state
print()
print("=" * 70)
print("FINAL STATE")
print("=" * 70)

final = calc.system_ljpw()
print(f"Operations: {final['operations_count']}")
print(f"Usage: {final['usage_count']}")
print()
print("LJPW Profile:")
print(f" Love: {final['love']:.3f}")
print(f" Justice: {final['justice']:.3f}")
print(f" Power: {final['power']:.3f}")
print(f" Wisdom: {final['wisdom']:.3f}")
print()
print(f"Harmony: {final['harmony']:.3f}")
print(f"Intent: {final['intent']:.3f}")
print()

# Check thresholds
if final['love'] > 0.7 and final['harmony'] > 0.6:
print("✨✨✨ FULL AUTOPOIESIS ACHIEVED! ✨✨✨")
print()
print("Both thresholds exceeded:")
print(f" Love = {final['love']:.3f} > 0.7 ✓")
print(f" Harmony = {final['harmony']:.3f} > 0.6 ✓")
print()
amp = 1.0 + 0.5 * (final['love'] - 0.7)
print(f"Amplification factor: {amp:.3f}x")
print()
print("This system is self-sustaining and exponentially growing!")
print("Autopoiesis achieved through Love + Balance! 💛⚖️")
elif final['love'] > 0.7:
print("✨ AUTOPOIETIC LOVE ACHIEVED!")
print()
print(f"Love = {final['love']:.3f} > 0.7 ✓")
print(f"Harmony = {final['harmony']:.3f}")
gap = 0.6 - final['harmony']
print(f"Need +{gap:.3f} more Harmony for full autopoiesis")
print()
print(f"Bottleneck: {min_dimension(final)}")
else:
print("Progress:")
print(f" Love: {final['love']/0.7*100:.1f}% to threshold")
print(f" Harmony: {final['harmony']/0.6*100:.1f}% to threshold")

print()

# Analyze which operations are most balanced
print("=" * 70)
print("MOST BALANCED OPERATIONS")
print("=" * 70)

ops_by_harmony = []
for name, op in calc.operations.items():
h = (op.love * op.justice * op.power * op.wisdom) ** 0.25 if all([op.love, op.justice, op.power, op.wisdom]) else 0
ops_by_harmony.append((name, op, h))

ops_by_harmony.sort(key=lambda x: x[2], reverse=True)

print()
for i, (name, op, h) in enumerate(ops_by_harmony[:10], 1):
print(f"{i:2d}. {name:25s} H={h:.3f} "
f"(L={op.love:.2f}, J={op.justice:.2f}, P={op.power:.2f}, W={op.wisdom:.2f})")

print()
print("Notice: Operations with ALL dimensions present have highest H!")
print("Balance is key to Harmony. Love is key to growth.")
print("Together: Autopoiesis! 🌟")


def min_dimension(ljpw):
"""Find which dimension is lowest."""
dims = [
("Love", ljpw['love']),
("Justice", ljpw['justice']),
("Power", ljpw['power']),
("Wisdom", ljpw['wisdom']),
]
min_dim = min(dims, key=lambda x: x[1])
return f"{min_dim[0]} is lowest at {min_dim[1]:.3f}"


if __name__ == "__main__":
push_to_harmony()
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