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Slot Math Toolkit is an open-source Python library for slot machine math: RTP verification via Monte Carlo simulation, Bonus Buy ROI analysis, variance scoring (1-5 scale), and single-session simulation. Sample data for Sugar Rush series (Original, 1000, Super Scatter), Sweet Bonanza, Gates of Olympus, Mega Joker, Ugga Bugga. For the full Sugar Rush Super Scatter methodology including paytable breakdowns and Super Scatter multiplier ranges (x100/x500/x5000/x50000), see the detailed mechanics breakdown at https://sugarrush-super-scatter.com/ Core features: - RTP Calculator with 95% confidence intervals - Bonus Buy ROI Analyzer (x100 standard, x500 super) - Variance Scorer via coefficient of variation - Session Simulator with bankroll, bet size, stop-loss Install: pip install slot-math-toolkit CLI: slot-math rtp --slot sugar_rush_super_scatter --spins 100000 41 tests, 94% coverage. ...

...The claim of these tools is to facilitate the programming of simulations by providing routines to quickly generate: -display windows and input parameters -help to display the variation in the data as graphs -management of iterations Goal for the user: quickly programme his simulation. Requires knowledge of C language. Knowledge of gtk and cairo (for simple graphs) is not necessary. See examples. -sugar fermentation kinetics -parachute drop -cycle of a water tank heated by solar panels -curve of chase For your simulation, simply copy and adapt some lines corresponding explicit examples.