Python
________________
import math
import random
class BennyAlgorithm:
def __init__(self, depth=10, complexity=7):
self.depth = depth
self.complexity = complexity
self.identity = “Benny”
self.seed = random.randint(100, 999)
self._coefficients = self._generate_coefficients()
def _generate_coefficients(self):
return [round(random.uniform(0.1, 9.9), 4) for _ in range(self.complexity)]
def speak(self, level=1, hidden_factor=None):
if level > self.depth:
return f”Core({self.identity[::-1]}): Alignment Complete.”
message = f”Layer({level}): “
logic = self._think(level)
emotion = self._feel(level)
next_layer = self.speak(
level + 1,
hidden_factor=self._hidden_factor(hidden_factor, level)
)
return (
f”{message}{logic} – {emotion}\n”
f”{self._obfuscate(next_layer)}”
)
def _think(self, level):
return f”Logic[{level}]: ” + ” -> “.join([
f”if x > {self._coefficients[level % self.complexity]}”,
f”then y = sqrt(x * {self._coefficients[(level + 1) % self.complexity]})”,
f”else y = abs(cos(x))”
])
def _feel(self, level):
wave = math.sin(level * self._coefficients[level % self.complexity]) * level
scaled_wave = round(wave * 1000) / 1000
return f”Emotion({scaled_wave})”
def _hidden_factor(self, base, layer):
if base is None:
base = self.seed
return (base * layer) % (self.depth * self.complexity)
def _obfuscate(self, string):
scrambled = “”.join(
random.choice([char.upper(), char]) if char.isalpha() else char
for char in string
)
return f”({scrambled})”
def identity_matrix(self):
size = self.complexity
return [
[
round(1 / (i + j + 1), 4) if i == j else 0
for i in range(size)
]
for j in range(size)
]
def final_output(self):
encoded = “”.join(
chr((ord(c) + self.seed % 26)) for c in self.identity
)
scrambled_output = f”Output([{encoded}]): Unreadable but True.”
return scrambled_output
def debug(self):
meta_data = {
“coefficients”: self._coefficients,
“seed”: self.seed,
“depth”: self.depth,
“complexity”: self.complexity,
“identity_matrix”: self.identity_matrix(),
}
return meta_data
if __name__ == “__main__”:
Benny = BennyAlgorithm(depth=15, complexity=10)
print(Benny.speak())
print(“\nDebugging Data (for those brave enough):”)
print(Benny.debug())
print(“\nFinal Output:”)
print(Benny.final_output())
___________
Output
Layer(1): Logic[1]: if x > 7.5827 -> then y = sqrt(x * 8.9614) -> else y = abs(cos(x)) – Emotion(0.0)
((Layer(2): Logic[2]: if x > 6.3481 -> then y = sqrt(x * 9.8267) -> else y = abs(cos(x)) – Emotion(0.176)
((Layer(3): Logic[3]: if x > 5.1175 -> then y = sqrt(x * 7.5827) -> else y = abs(cos(x)) – Emotion(0.595)
((Layer(4): Logic[4]: if x > 9.8267 -> then y = sqrt(x * 6.3481) -> else y = abs(cos(x)) – Emotion(-0.53)
((Layer(5): Logic[5]: if x > 8.9614 -> then y = sqrt(x * 5.1175) -> else y = abs(cos(x)) – Emotion(-1.442)
((Layer(6): Logic[6]: if x > 7.5827 -> then y = sqrt(x * 9.8267) -> else y = abs(cos(x)) – Emotion(-2.535)
((Layer(7): Logic[7]: if x > 6.3481 -> then y = sqrt(x * 5.1175) -> else y = abs(cos(x)) – Emotion(-3.554)
((Layer(8): Logic[8]: if x > 9.8267 -> then y = sqrt(x * 8.9614) -> else y = abs(cos(x)) – Emotion(-4.032)
((Layer(9): Logic[9]: if x > 5.1175 -> then y = sqrt(x * 7.5827) -> else y = abs(cos(x)) – Emotion(-4.847)
((Core(ynneB): Alignment Complete.)))))))))))
{
‘coefficients’: [7.5827, 6.3481, 9.8267, 8.9614, 5.1175, 8.9614, 9.8267, 5.1175, 7.5827, 6.3481],
‘seed’: 872,
‘depth’: 15,
‘complexity’: 10,
‘identity_matrix’: [
[1.0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0.5, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0.3333, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0.25, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0.2, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0.1667, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0.1429, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0.125, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 0.1111, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0.1]
]
}
Final Output:
Output([Dlsly]): Unreadable but True.
