Auto-generated commit

data/data.csv

@@ -4108,6 +4108,15 @@ random.array.uniform.seedLength,"\nrandom.array.uniform.seedLength\n    Length o
 random.array.uniform.state,"\nrandom.array.uniform.state\n    Generator state.\n"
 random.array.uniform.stateLength,"\nrandom.array.uniform.stateLength\n    Length of generator state.\n"
 random.array.uniform.byteLength,"\nrandom.array.uniform.byteLength\n    Size (in bytes) of generator state.\n"
+random.array.weibull,"\nrandom.array.weibull( len:integer, k:number, lambda:number[, options:Object] )\n    Returns an array containing pseudorandom numbers drawn from a Weibull\n    distribution.\n"
+random.array.weibull.assign,"\nrandom.array.weibull.assign( k:number, lambda:number, \n  out:Array|Float64Array|Float32Array )\n    Fills an array with pseudorandom numbers drawn from a Weibull distribution.\n"
+random.array.weibull.factory,"\nrandom.array.weibull.factory( [k:number, lambda:number, ][options:Object] )\n    Returns a function for creating arrays containing pseudorandom numbers drawn\n    from a Weibull distribution.\n"
+random.array.weibull.PRNG,"\nrandom.array.weibull.PRNG\n    Underlying pseudorandom number generator.\n"
+random.array.weibull.seed,"\nrandom.array.weibull.seed\n    Pseudorandom number generator seed.\n"
+random.array.weibull.seedLength,"\nrandom.array.weibull.seedLength\n    Length of generator seed.\n"
+random.array.weibull.state,"\nrandom.array.weibull.state\n    Generator state.\n"
+random.array.weibull.stateLength,"\nrandom.array.weibull.stateLength\n    Length of generator state.\n"
+random.array.weibull.byteLength,"\nrandom.array.weibull.byteLength\n    Size (in bytes) of generator state.\n"
 random.iterators.arcsine,"\nrandom.iterators.arcsine( a:number, b:number[, options:Object] )\n    Returns an iterator for generating pseudorandom numbers drawn from an\n    arcsine distribution.\n"
 random.iterators.bernoulli,"\nrandom.iterators.bernoulli( p:number[, options:Object] )\n    Returns an iterator for generating pseudorandom numbers drawn from a\n    Bernoulli distribution.\n"
 random.iterators.beta,"\nrandom.iterators.beta( α:number, β:number[, options:Object] )\n    Returns an iterator for generating pseudorandom numbers drawn from a\n    beta distribution.\n"