bittensor-drand

import numpy as np import bittensor_drand as drand_lib import bittensor as bt from bittensor.utils.weight_utils import convert_weights_and_uids_for_emit import os # NOTE: This quickstart assumes a local Bittensor Subtensor node is running. # For full functionality, you need a running Subtensor instance and a configured wallet. # Example: subtensor = bt.subtensor(network="local", chain_endpoint="ws://127.0.0.1:9944") # Mock data for demonstration purposes uids = np.array([1, 3], dtype=np.int64) weights = np.array([0.3, 0.7], dtype=np.float32) version_key = 843000 # Example version key netuid = 1 # Example network ID # In a real scenario, you would fetch these from a live or local subtensor instance # For local testing, ensure your local subtensor is configured with CRv3 and Drand. # tempo = subtensor.get_subnet_hyperparameters(netuid).tempo # current_block = subtensor.get_current_block() # subnet_reveal_period_epochs = subtensor.get_subnet_reveal_period_epochs(netuid=netuid) tempo = 10 # Mock tempo current_block = 100 # Mock current block subnet_reveal_period_epochs = 20 # Mock reveal period # Ensure weights are correctly formatted for emit uids, weights = convert_weights_and_uids_for_emit(uids, weights) try: encrypted_commit = drand_lib.get_encrypted_commit( uids=uids, weights=weights, version_key=version_key, tempo=tempo, current_block=current_block, netuid=netuid, subnet_reveal_period_epochs=subnet_reveal_period_epochs ) print(f"Successfully generated encrypted commit: {encrypted_commit[:60]}...") # Example of MLKEM768 encryption (requires a target Drand round) drand_round = 123456 # A specific Drand round to encrypt for encryption_data = b"My secret message for Drand round!" encrypted_mlkem_payload = drand_lib.encrypt_mlkem768(drand_round, encryption_data) print(f"MLKEM768 encrypted payload: {encrypted_mlkem_payload[:60]}...") except Exception as e: print(f"An error occurred: {e}") print("Please ensure you have a local Bittensor Subtensor node running with CRv3 support ") print("and that bittensor is installed (pip install bittensor).")