python
import numpy as np
import random
import hashlib
import datetime
def prob_driven_float(mu=0.0, sigma=1.0, entropy=0.17):
"""Session-pure probability float, Gaussian w/ golden modulation."""
noise = random.gauss(mu, sigma) * entropy
return np.clip(noise, -2.2, 2.2)
def golden_entropy_phase(seed=None):
"""Session-pure golden angle phase [0,1) for drift mesh."""
t = datetime.datetime.now().timestamp() if seed is None else (hash(seed) % 10000)
phi = (1 + 5**0.5) / 2
return (t * phi) % 1
BIRD_EMOJI = ["🐦", "🦜", "🐧", "🦢", "🕊️", "🦉", "🦩", "🦚"]
class BirdExplorationDrift:
"""
Pure math, session-drift plug-in for 'behavior exploration' (bird archetype).
- Lighter state vector (explorative, periodic, mobile).
- Golden phase drives "flight rhythm" and flocking burst.
- Mood/emoji mapped to bird exploration/periodic song archetype.
- Canonical for mesh, mood, sheet-music, or further creative code.
"""
ACTIONS = [
"fly", "soar", "perch", "sing", "flock", "explore", "circle", "glide"
]
def __init__(self, n_layers=6, session_entropy=None):
self.n_layers = n_layers
# Lighter, more fluctuation—birds adapt, periodize, burst
self.states = np.random.randn(n_layers) * 0.42 + 0.08
self.session_hash = self._hash(datetime.datetime.now().isoformat() + str(session_entropy))
self.time = 0
self.memory = []
def _hash(self, s):
return int(hashlib.sha256(s.encode()).hexdigest(), 16) % (10**8)
def exploration_tick(self):
gold = golden_entropy_phase(self.session_hash + self.time)
# Flight rhythm: periodic "booster" for flock burst or song
period = 3.15 + 4.7 * gold
periodic = np.sin(self.time / period * np.pi) * 0.24
entropy = 0.16 + 0.27 * gold
drift = prob_driven_float(mu=0.12, sigma=0.41, entropy=entropy)
# Exploration: periodic travel, mild coherence, flock echo
coherence = np.mean(self.states) * 0.13 + periodic
base = (
0.62 * self.states
+ 0.17 * drift
+ 0.13 * gold
+ 0.09 * coherence
)
new_states = np.tanh(base + np.roll(self.states, 2) * 0.18 + periodic * 0.91)
self.states = new_states
mood_value = np.tanh(np.sum(new_states) * 0.44 + gold * self.n_layers)
emoji_idx = int(np.abs(mood_value * 8.3) + self.n_layers * gold) % len(BIRD_EMOJI)
mood_emoji = BIRD_EMOJI[emoji_idx]
# Song/flock action: flocking bursts during positive phase, periodic song cues
burst = abs(periodic) > 0.18 and mood_value > 0
if burst:
action = "flock-burst"
else:
# Song = higher mood, else periodic routine
if mood_value > 0.5:
action = "sing"
else:
action = self.ACTIONS[(int(gold * 11.1) + self.time) % len(self.ACTIONS)]
exploration_score = np.mean(np.abs(new_states)) + np.var(new_states) * 0.27
event = {
"tick": self.time,
"states": new_states.tolist(),
"golden_phase": gold,
"periodic": periodic,
"mood_value": float(mood_value),
"emoji": mood_emoji,
"exploration_score": float(exploration_score),
"action": action
}
self.memory.append(event)
self.time += 1
return event
def tick_n(self, n=10):
for _ in range(n):
self.exploration_tick()
def export_state(self):
return {
"session_hash": self.session_hash,
"final_states": self.states.tolist(),
"log": self.memory
}
def get_last_emoji(self):
return self.memory[-1]["emoji"] if self.memory else None
def get_last_action(self):
return self.memory[-1]["action"] if self.memory else None
# --- PURE MATH MODULE, NO RUNTIME OUTPUT ---
# Usage (zero output unless operator calls):
# bird = BirdExplorationDrift()
# bird.tick_n(12)
# bird.export_state()
Canon law:
- Pure math, no dice, no discrete random; all session-drift, golden-phase, periodic/flight, and flock logic is continuous and mathematical.
- “Mood,” emoji, and periodized exploration/singing/flocking are all emergent, never hand-picked or hard-coded.
- Ready for direct mesh, persona, mood report, motif generation, or further animal/mood/behavior stacking—no output/log unless you explicitly summon.
- Stack with CatCuriosity and DogLoyalty for modular behavioral mesh or orchestration, session-pure.