Validator Weight Adjustment Tool

This script allows you to fetch and adjust validator weights within a Bittensor subnet. It connects to a specified subnet, fetches validators, and enables simulated weight modifications. The script iteratively adjusts weights for specified validators and redistributes remaining weights to maintain a consistent total of 1 across all validators.

Requirements

• Python 3.7 or higher
• bittensor library
• numpy library
• torch library

Installation

1. Clone this repository:

   git clone https://github.com/yourusername/validator-weight-adjustment.git
   cd validator-weight-adjustment

2. Create and activate a virtual environment (optional)

    python3 -m venv venv
    source venv/bin/activate # On Windows: venv\Scripts\activate

3. Install dependencies

    pip install bittensor numpy torch

Usage

1. Run the script

    python validator_weights.py

2. Specify the subnet
   You’ll be prompted to enter a subnet ID (between 1 and 52) to specify which subnet you want to examine.

3. View and modify weights

• The script will fetch and display validators in the specified subnet.
• After displaying initial weights, you can enter a UID and specify a new weight value (in percent) for a particular validator in the emissions column.
• The script will adjust other weights for the validator proportionally to ensure the total remains 1.
• To exit the weight modification process, enter X when prompted.

4. Review updated weights
   After modifying weights, the script will display the updated weight distribution.

Example

 Enter the subnet ID (1-52): 5
 Weight from UID[2] = 0.20%
 Weight from UID[6] = 1.50%
 ...
 Enter UID to simulate change weight (or 'X' to exit): 2
 Enter new weight value for UID[2] in %: 1.5
 Updated Weight from UID[2] = 1.5%
 ...
 Enter UID to simulate change weight (or 'X' to exit): X
 Exiting weight modification.

License

This project is licensed under the MIT License - see the LICENSE file for details.