@lazy-random/df-algorithm/dist/index.umd.production.min.cjs

!function(e, t) {
  "object" == typeof exports && "undefined" != typeof module ? t(exports, require("@lazy-random/expect"), require("num-is-zero")) : "function" == typeof define && define.amd ? define([ "exports", "@lazy-random/expect", "num-is-zero" ], t) : t((e = "undefined" != typeof globalThis ? globalThis : e || self).LazyRandomDfAlgorithm = {}, e.expect, e.numIsZero);
}(this, (function(e, t, n) {
  "use strict";
  function dfIrwinHall(e, r = 1) {
    return t.expect(r).integer.gte(0), 0 === (r = n.fixZero(r)) ? () => 0 : () => {
      let t = r, n = 0;
      for (;t--; ) n += e.next();
      return n;
    };
  }
  function dfNormal(e, n = 0, r = 1) {
    return t.expect(n).number(), t.expect(r).number(), () => {
      let t, o, f;
      do {
        t = 2 * e.next() - 1, o = 2 * e.next() - 1, f = t * t + o * o;
      } while (!f || f > 1);
      return n + r * o * Math.sqrt(-2 * Math.log(f) / f);
    };
  }
  e.dfBates = function dfBates(e, n = 1) {
    t.expect(n).integer.gt(0);
    const r = dfIrwinHall(e, n);
    return () => r() / n;
  }, e.dfBernoulli = function dfBernoulli(e, n = .5) {
    return t.expect(n).number.gte(0).lte(1), () => Math.floor(e.next() + n);
  }, e.dfBinomial = function dfBinomial(e, n = 1, r = .5) {
    return t.expect(n).integer.gt(0), t.expect(r).number.gte(0).lte(1), () => {
      let t = n, o = 0;
      for (;t--; ) e.next() < r && o++;
      return o;
    };
  }, e.dfExponential = function dfExponential(e, n = 1) {
    return t.expect(n).number.gt(0), () => -Math.log(1 - e.next()) / n;
  }, e.dfGeometric = function dfGeometric(e, n = .5) {
    t.expect(n).number.gt(0).lte(1);
    const r = 1.0 / Math.log(1.0 - n);
    return () => Math.floor(1 + Math.log(e.next()) * r);
  }, e.dfIrwinHall = dfIrwinHall, e.dfLogNormal = function dfLogNormal(...e) {
    const t = dfNormal(...e);
    return () => Math.exp(t());
  }, e.dfNormal = dfNormal, e.dfPareto = function dfPareto(e, n = 1) {
    t.expect(n).gt(0);
    const r = 1.0 / n;
    return () => 1.0 / Math.pow(1.0 - e.next(), r);
  }, Object.defineProperty(e, "__esModule", {
    value: !0
  });
}));
//# sourceMappingURL=index.umd.production.min.cjs.map