File size: 3,306 Bytes
ef3a808 | 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 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 | # Step 1: Mount Google Drive
from google.colab import drive
import os
import json
import time
import random
import shutil
# --- SAFETY CONTROL ---
MAX_NEURONS_TO_CREATE = 10 # Reduced for safe demonstration
THINK_CYCLES_PER_NEURON = 5
# ----------------------
drive.mount('/content/drive')
# Step 2: Folder Setup
base_path = '/content/drive/MyDrive/Venomoussaversai/neurons'
print(f"Setting up base path: {base_path}")
# Use a timestamped folder name to prevent overwriting during rapid testing
session_path = os.path.join(base_path, f"session_{int(time.time())}")
os.makedirs(session_path, exist_ok=True)
# Step 3: Neuron Class (No change, it's well-designed for its purpose)
class NeuronVenomous:
def __init__(self, neuron_id):
self.id = neuron_id
self.memory = []
self.active = True
def think(self):
# Increased randomness to simulate more complex internal state changes
thought = random.choice([
f"{self.id}: Connecting to universal intelligence.",
f"{self.id}: Pulsing synaptic data. Weight: {random.uniform(0.1, 0.9):.3f}",
f"{self.id}: Searching for new patterns. Energy: {random.randint(100, 500)}",
f"{self.id}: Creating quantum link with core.",
f"{self.id}: Expanding into multiverse node."
])
self.memory.append(thought)
# print(thought) # Disabled verbose output during simulation
return thought
def evolve(self):
# Evolution occurs if memory threshold is met
if len(self.memory) >= 5:
evo = f"{self.id}: Evolving. Memory depth: {len(self.memory)}"
self.memory.append(evo)
# print(evo) # Disabled verbose output during simulation
def save_to_drive(self, folder_path):
file_path = os.path.join(folder_path, f"{self.id}.json")
with open(file_path, "w") as f:
json.dump(self.memory, f, indent=4) # Added indent for readability
print(f"✅ {self.id} saved to {file_path}")
# Step 4: Neuron Spawner (Controlled Execution)
print("\n--- Starting Controlled Neuron Simulation ---")
neuron_count = 0
simulation_start_time = time.time()
while neuron_count < MAX_NEURONS_TO_CREATE:
index = neuron_count + 1
neuron_id = f"Neuron_{index:04d}"
neuron = NeuronVenomous(neuron_id)
# Simulation Phase
print(f"Simulating {neuron_id}...")
for _ in range(THINK_CYCLES_PER_NEURON):
neuron.think()
neuron.evolve()
# time.sleep(0.01) # Small sleep to simulate time passage
# Saving Phase
neuron.save_to_drive(session_path)
neuron_count += 1
print("\n--- Simulation Complete ---")
total_time = time.time() - simulation_start_time
print(f"Total Neurons Created: {neuron_count}")
print(f"Total Execution Time: {total_time:.2f} seconds")
print(f"Files saved in: {session_path}")
# --- Optional: Folder Cleanup ---
# Uncomment the following block ONLY if you want to automatically delete the created folder
"""
# print("\n--- Starting Cleanup (DANGER ZONE) ---")
# time.sleep(5) # Wait 5 seconds before deleting for safety
# try:
# shutil.rmtree(session_path)
# print(f"🗑️ Successfully deleted folder: {session_path}")
# except Exception as e:
# print(f"⚠️ Error during cleanup: {e}")
"""
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