feat: add Monte Carlo simulation and fast-forward mode - #2
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Add --monte-carlo N flag for repeated trials with a live-updating horizontal histogram rendered on stderr. The empirical distribution converges to uniform as N increases, providing a visual proof of fairness. Final frequency table written to stdout in TSV format. Add --fast-forward flag to skip the wheel animation for any run, printing only the selected item. In Monte Carlo mode, fast-forward accumulates trials silently, updating only the histogram. New exported function Select() provides random selection without animation, used as the fast path for both modes.
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Add monte-carlo and fast-forward flags with histogram display.