You can find script for inflation at programs/util
To run this script, enter:
./inflation_model > model.jsonIt will generate file model.json for you, which contains 10-year supply data. You can plot this data with following command:
python3 inflation_plot.py model.jsonNOTE #1 You should have already installed matplotlib for python3.
brew install homebrew/python/numpy --with-python3brew install homebrew/python/matplotlib --with-python3Also check stackoverflow
NOTE #2 If you would like to look into model.json use SublimeText editor.
Explanation of output
{"rvec":["929159090641","8360617424769","929159090641","8360617424769","197985103985","1780051544865","195077031513","1755693283617","179687790278","1615357001502"],"b":68585000,"s":"24303404786580"}rvec shows total number of STEEM satoshis created since genesis for:
- Curation rewards
- Vesting rewards balancing curation rewards
- Content rewards
- Vesting rewards balancing content rewards
- Producer rewards
- Vesting rewards balancing producer rewards
- Liquidity rewards
- Vesting rewards balancing liquidity rewards
- PoW rewards
- Vesting rewards balancing PoW rewards
b is block number
s is total supply
Some possible sources of inaccuracy, the direction and estimated relative sizes of these effects:
- Missed blocks not modeled (lowers STEEM supply, small)
- Miner queue length very approximately modeled (assumed to go to 100 during the first blocks and then stay there) (may lower or raise STEEM supply, very small)
- Creation / destruction of STEEM used to back SBD not modeled (moves STEEM supply in direction opposite to changes in dollar value of 1 STEEM, large)
- Interest paid to SBD not modeled (raises STEEM supply, medium)
- Lost / forgotten private keys / wallets and deliberate burning of STEEM not modeled (lowers STEEM supply, unknown but likely small)
- Possible bugs or mismatches with implementation (unknown)