2022-04-22 20:27:17 +00:00
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let normalDist5: DistributionTypes.genericDist = Symbolic(#Normal({mean: 5.0, stdev: 2.0}))
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let normalDist10: DistributionTypes.genericDist = Symbolic(#Normal({mean: 10.0, stdev: 2.0}))
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let normalDist20: DistributionTypes.genericDist = Symbolic(#Normal({mean: 20.0, stdev: 2.0}))
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let normalDist: DistributionTypes.genericDist = normalDist5
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2022-04-08 06:51:38 +00:00
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2022-04-22 20:27:17 +00:00
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let betaDist: DistributionTypes.genericDist = Symbolic(#Beta({alpha: 2.0, beta: 5.0}))
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let lognormalDist: DistributionTypes.genericDist = Symbolic(#Lognormal({mu: 0.0, sigma: 1.0}))
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let cauchyDist: DistributionTypes.genericDist = Symbolic(#Cauchy({local: 1.0, scale: 1.0}))
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let triangularDist: DistributionTypes.genericDist = Symbolic(
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2022-04-12 23:59:40 +00:00
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#Triangular({low: 1.0, medium: 2.0, high: 3.0}),
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)
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2022-04-22 20:27:17 +00:00
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let exponentialDist: DistributionTypes.genericDist = Symbolic(#Exponential({rate: 2.0}))
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let uniformDist: DistributionTypes.genericDist = Symbolic(#Uniform({low: 9.0, high: 10.0}))
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let floatDist: DistributionTypes.genericDist = Symbolic(#Float(1e1))
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