# Usage
Python package `bittensor_drand` has one function.
```python
from bittensor_drand import get_encrypted_commit
```
To test the function in your terminal:
1. Spin up a local subtensor branch which includes CR3
2. Create a subnet with netuid 1 (or replace the netuid with the one you create)
```bash
mkdir test
cd test
python3 -m venv venv
. venv/bin/activate
pip install maturin bittensor ipython
cd ..
maturin develop
ipython
```
then copy-past to ipython
```python
import numpy as np
import bittensor_drand as crv3
from bittensor.utils.weight_utils import convert_weights_and_uids_for_emit
import bittensor as bt
uids = [1, 3]
weights = [0.3, 0.7]
version_key = 843000
netuid = 1
subtensor = bt.Subtensor("local")
subnet_reveal_period_epochs = subtensor.get_subnet_reveal_period_epochs(
netuid=netuid
)
tempo = subtensor.get_subnet_hyperparameters(netuid).tempo
current_block = subtensor.get_current_block()
if isinstance(uids, list):
uids = np.array(uids, dtype=np.int64)
if isinstance(weights, list):
weights = np.array(weights, dtype=np.float32)
uids, weights = convert_weights_and_uids_for_emit(uids, weights)
print(crv3.get_encrypted_commit(uids, weights, version_key, tempo, current_block, netuid, subnet_reveal_period_epochs))
```
expected result
```python
(b'\xb9\x96\xe4\xd1\xfd\xabm\x8cc\xeb\xe3W\r\xc7J\xb4\xea\xa9\xd5u}OG~\xae\xcc\x9a@\xdf\xee\x16\xa9\x0c\x8d7\xd6\xea_c\xc2<\xcb\xa6\xbe^K\x97|\x16\xc6|;\xb5Z\x97\xc9\xb4\x8em\xf1hv\x16\xcf\xea\x1e7\xbe-Z\xe7e\x1f$\n\xf8\x08\xcb\x18.\x94V\xa3\xd7\xcd\xc9\x04F::\t)Z\xc6\xbey \x00\x00\x00\x00\x00\x00\x00\xaaN\xe8\xe97\x8f\x99\xbb"\xdf\xad\xf6\\#%\xca:\xc2\xce\xf9\x96\x9d\x8f\x9d\xa2\xad\xfd\xc73j\x16\xda \x00\x00\x00\x00\x00\x00\x00\x84*\xb0\rw\xad\xdc\x02o\xf7i)\xbb^\x99e\xe2\\\xee\x02NR+-Q\xcd \xf7\x02\x83\xffV>\x00\x00\x00\x00\x00\x00\x00"\x00\x00\x00\x00\x00\x00\x00*\x13wXb\x93\xc5"F\x17F\x05\xcd\x15\xb0=\xe2d\xfco3\x16\xfd\xe9\xc6\xbc\xd1\xb3Y\x97\xf9\xb9!\x01\x0c\x00\x00\x00\x00\x00\x00\x00X\xa2\x8c\x18Wkq\xe5\xe6\x1c2\x86\x08\x00\x00\x00\x00\x00\x00\x00AES_GCM_', 13300875)
```
To test this in a local subnet:
1. Spin up a local node based on the subtensor branch `spiigot/add-pallet-drand` using command `./scripts/localnet.sh False`
2. Create a subnet
3. Change the following hyperparameters:
- `commit_reveal_weights_enabled` -> `True`
- `tempo` -> 10 (keep in mind that you need to provide this as `tempo` argument to `get_encrypted_commit` function. Use polkadot website for this action.)
- `weights_rate_limit` -> 0 (Reduces the limit when you can set weights.)
4. Register 1 or more wallets to the subnet
5. Create and activate python virtual environment (`python3 -m venv venv && . venv/bin/activate`)
6. Checkout bittensor `feat/roman/cr-v-3` branch.
7. Install bittensor `pip install -e .`
8. Cd to directory you cloned `https://github.com/opentensor/bittensor-commit-reveal/tree/staging` (FFI for CRv3).
9. Install the `maturin` python package and build/install `bittensor-commit-reveal` package to your env using the command `pip install maturin && maturin develop`
10. Run the following script within your python environment:
```python
import requests
import time
from bittensor import Subtensor, logging, Wallet
DRAND_API_BASE_URL_Q = "https://api.drand.sh/52db9ba70e0cc0f6eaf7803dd07447a1f5477735fd3f661792ba94600c84e971"
logging.set_info()
def get_drand_info(uri):
"""Fetch Drand network information."""
url = f"{uri}/info"
response = requests.get(url)
response.raise_for_status()
return response.json()
def get_current_round(info):
"""Calculate the current round based on genesis_time and period."""
current_time = int(time.time())
genesis_time = info["genesis_time"]
period = info["period"]
return (current_time - genesis_time) // period + 1
def main():
sub = Subtensor("local")
uids = [0]
weights = [0.7]
wallet = Wallet() # corresponds the subnet owner wallet
result, message = sub.set_weights(
wallet=wallet,
netuid=1,
uids=uids,
weights=weights,
wait_for_inclusion=True,
wait_for_finalization=True,
)
logging.info(f">>> Success, [blue]{result}[/blue], message: [magenta]{message}[/magenta]")
reveal_round = int(message.split(":")[-1])
# Fetch Drand network info
for uri in [DRAND_API_BASE_URL_Q]:
print(f"Fetching info from {uri}...")
info = get_drand_info(uri)
print("Info:", info)
while True:
time.sleep(info["period"])
current_round = get_current_round(info)
logging.console.info(f"Current round: [yellow]{current_round}[/yellow]")
if current_round == reveal_round:
logging.console.warning(f">>> It's time to reveal the target round: [blue]{reveal_round}[/blue]")
break
if __name__ == "__main__":
main()
```
11. Wait until your target_round comes.
12. Check your weights with the following code:
```python
import bittensor as bt
sub = bt.Subtensor(network="local")
netuid = 1 # your created subnet's netuid
print(sub.weights(netuid=netuid))
```
13. You can now see the same weights which you committed earlier
Raw data
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"description": "# Usage\r\nPython package `bittensor_drand` has one function.\r\n\r\n```python\r\nfrom bittensor_drand import get_encrypted_commit\r\n```\r\n\r\nTo test the function in your terminal:\r\n1. Spin up a local subtensor branch which includes CR3\r\n2. Create a subnet with netuid 1 (or replace the netuid with the one you create)\r\n```bash\r\nmkdir test\r\ncd test\r\npython3 -m venv venv\r\n. venv/bin/activate\r\npip install maturin bittensor ipython\r\ncd ..\r\n\r\nmaturin develop\r\nipython\r\n\r\n```\r\n\r\nthen copy-past to ipython\r\n```python\r\nimport numpy as np\r\nimport bittensor_drand as crv3\r\nfrom bittensor.utils.weight_utils import convert_weights_and_uids_for_emit\r\nimport bittensor as bt\r\n\r\nuids = [1, 3]\r\nweights = [0.3, 0.7]\r\nversion_key = 843000\r\nnetuid = 1\r\n\r\nsubtensor = bt.Subtensor(\"local\")\r\n\r\nsubnet_reveal_period_epochs = subtensor.get_subnet_reveal_period_epochs(\r\n netuid=netuid\r\n )\r\ntempo = subtensor.get_subnet_hyperparameters(netuid).tempo\r\ncurrent_block = subtensor.get_current_block()\r\n\r\nif isinstance(uids, list):\r\n uids = np.array(uids, dtype=np.int64)\r\nif isinstance(weights, list):\r\n weights = np.array(weights, dtype=np.float32)\r\n\r\nuids, weights = convert_weights_and_uids_for_emit(uids, weights)\r\n\r\nprint(crv3.get_encrypted_commit(uids, weights, version_key, tempo, current_block, netuid, subnet_reveal_period_epochs))\r\n```\r\nexpected result\r\n```python\r\n(b'\\xb9\\x96\\xe4\\xd1\\xfd\\xabm\\x8cc\\xeb\\xe3W\\r\\xc7J\\xb4\\xea\\xa9\\xd5u}OG~\\xae\\xcc\\x9a@\\xdf\\xee\\x16\\xa9\\x0c\\x8d7\\xd6\\xea_c\\xc2<\\xcb\\xa6\\xbe^K\\x97|\\x16\\xc6|;\\xb5Z\\x97\\xc9\\xb4\\x8em\\xf1hv\\x16\\xcf\\xea\\x1e7\\xbe-Z\\xe7e\\x1f$\\n\\xf8\\x08\\xcb\\x18.\\x94V\\xa3\\xd7\\xcd\\xc9\\x04F::\\t)Z\\xc6\\xbey \\x00\\x00\\x00\\x00\\x00\\x00\\x00\\xaaN\\xe8\\xe97\\x8f\\x99\\xbb\"\\xdf\\xad\\xf6\\\\#%\\xca:\\xc2\\xce\\xf9\\x96\\x9d\\x8f\\x9d\\xa2\\xad\\xfd\\xc73j\\x16\\xda \\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x84*\\xb0\\rw\\xad\\xdc\\x02o\\xf7i)\\xbb^\\x99e\\xe2\\\\\\xee\\x02NR+-Q\\xcd \\xf7\\x02\\x83\\xffV>\\x00\\x00\\x00\\x00\\x00\\x00\\x00\"\\x00\\x00\\x00\\x00\\x00\\x00\\x00*\\x13wXb\\x93\\xc5\"F\\x17F\\x05\\xcd\\x15\\xb0=\\xe2d\\xfco3\\x16\\xfd\\xe9\\xc6\\xbc\\xd1\\xb3Y\\x97\\xf9\\xb9!\\x01\\x0c\\x00\\x00\\x00\\x00\\x00\\x00\\x00X\\xa2\\x8c\\x18Wkq\\xe5\\xe6\\x1c2\\x86\\x08\\x00\\x00\\x00\\x00\\x00\\x00\\x00AES_GCM_', 13300875)\r\n```\r\n\r\nTo test this in a local subnet:\r\n1. Spin up a local node based on the subtensor branch `spiigot/add-pallet-drand` using command `./scripts/localnet.sh False`\r\n2. Create a subnet\r\n3. Change the following hyperparameters:\r\n - `commit_reveal_weights_enabled` -> `True`\r\n - `tempo` -> 10 (keep in mind that you need to provide this as `tempo` argument to `get_encrypted_commit` function. Use polkadot website for this action.)\r\n - `weights_rate_limit` -> 0 (Reduces the limit when you can set weights.)\r\n4. Register 1 or more wallets to the subnet\r\n5. Create and activate python virtual environment (`python3 -m venv venv && . venv/bin/activate`)\r\n6. Checkout bittensor `feat/roman/cr-v-3` branch.\r\n7. Install bittensor `pip install -e .`\r\n8. Cd to directory you cloned `https://github.com/opentensor/bittensor-commit-reveal/tree/staging` (FFI for CRv3).\r\n9. Install the `maturin` python package and build/install `bittensor-commit-reveal` package to your env using the command `pip install maturin && maturin develop`\r\n10. Run the following script within your python environment:\r\n```python\r\nimport requests\r\nimport time\r\n\r\nfrom bittensor import Subtensor, logging, Wallet\r\n\r\nDRAND_API_BASE_URL_Q = \"https://api.drand.sh/52db9ba70e0cc0f6eaf7803dd07447a1f5477735fd3f661792ba94600c84e971\"\r\n\r\nlogging.set_info()\r\n\r\n\r\ndef get_drand_info(uri):\r\n \"\"\"Fetch Drand network information.\"\"\"\r\n url = f\"{uri}/info\"\r\n response = requests.get(url)\r\n response.raise_for_status()\r\n return response.json()\r\n\r\n\r\ndef get_current_round(info):\r\n \"\"\"Calculate the current round based on genesis_time and period.\"\"\"\r\n current_time = int(time.time())\r\n genesis_time = info[\"genesis_time\"]\r\n period = info[\"period\"]\r\n return (current_time - genesis_time) // period + 1\r\n\r\n\r\ndef main():\r\n sub = Subtensor(\"local\")\r\n\r\n uids = [0]\r\n weights = [0.7]\r\n\r\n wallet = Wallet() # corresponds the subnet owner wallet\r\n\r\n result, message = sub.set_weights(\r\n wallet=wallet,\r\n netuid=1,\r\n uids=uids,\r\n weights=weights,\r\n wait_for_inclusion=True,\r\n wait_for_finalization=True,\r\n )\r\n logging.info(f\">>> Success, [blue]{result}[/blue], message: [magenta]{message}[/magenta]\")\r\n\r\n reveal_round = int(message.split(\":\")[-1])\r\n # Fetch Drand network info\r\n for uri in [DRAND_API_BASE_URL_Q]:\r\n print(f\"Fetching info from {uri}...\")\r\n info = get_drand_info(uri)\r\n print(\"Info:\", info)\r\n\r\n while True:\r\n time.sleep(info[\"period\"])\r\n current_round = get_current_round(info)\r\n logging.console.info(f\"Current round: [yellow]{current_round}[/yellow]\")\r\n if current_round == reveal_round:\r\n logging.console.warning(f\">>> It's time to reveal the target round: [blue]{reveal_round}[/blue]\")\r\n\r\n break\r\n\r\n\r\nif __name__ == \"__main__\":\r\n main()\r\n```\r\n11. Wait until your target_round comes.\r\n\r\n12. Check your weights with the following code:\r\n\r\n```python\r\nimport bittensor as bt\r\n\r\nsub = bt.Subtensor(network=\"local\")\r\n\r\nnetuid = 1 # your created subnet's netuid\r\n\r\nprint(sub.weights(netuid=netuid))\r\n```\r\n13. You can now see the same weights which you committed earlier\n",
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