Auto-generated commit

data/data.csv

@@ -3974,6 +3974,15 @@ random.array.geometric.seedLength,"\nrandom.array.geometric.seedLength\n    Leng
 random.array.geometric.state,"\nrandom.array.geometric.state\n    Generator state.\n"
 random.array.geometric.stateLength,"\nrandom.array.geometric.stateLength\n    Length of generator state.\n"
 random.array.geometric.byteLength,"\nrandom.array.geometric.byteLength\n    Size (in bytes) of generator state.\n"
+random.array.gumbel,"\nrandom.array.gumbel( len:integer, mu:number, beta:number[, options:Object] )\n    Returns an array containing pseudorandom numbers drawn from a Gumbel\n    distribution.\n"
+random.array.gumbel.assign,"\nrandom.array.gumbel.assign( mu:number, beta:number, \n  out:Array|Float64Array|Float32Array )\n    Fills an array with pseudorandom numbers drawn from a Gumbel distribution.\n"
+random.array.gumbel.factory,"\nrandom.array.gumbel.factory( [mu:number, beta:number, ][options:Object] )\n    Returns a function for creating arrays containing pseudorandom numbers drawn\n    from a Gumbel distribution.\n"
+random.array.gumbel.PRNG,"\nrandom.array.gumbel.PRNG\n    Underlying pseudorandom number generator.\n"
+random.array.gumbel.seed,"\nrandom.array.gumbel.seed\n    Pseudorandom number generator seed.\n"
+random.array.gumbel.seedLength,"\nrandom.array.gumbel.seedLength\n    Length of generator seed.\n"
+random.array.gumbel.state,"\nrandom.array.gumbel.state\n    Generator state.\n"
+random.array.gumbel.stateLength,"\nrandom.array.gumbel.stateLength\n    Length of generator state.\n"
+random.array.gumbel.byteLength,"\nrandom.array.gumbel.byteLength\n    Size (in bytes) of generator state.\n"
 random.array.invgamma,"\nrandom.array.invgamma( len:integer, alpha:number, beta:number[, \n  options:Object] )\n    Returns an array containing pseudorandom numbers drawn from an inverse gamma\n    distribution.\n"
 random.array.invgamma.assign,"\nrandom.array.invgamma.assign( alpha:number, beta:number, \n  out:Array|Float64Array|Float32Array )\n    Fills an array with pseudorandom numbers drawn from an inverse gamma\n    distribution.\n"
 random.array.invgamma.factory,"\nrandom.array.invgamma.factory( [alpha:number, beta:number, ][options:Object] )\n    Returns a function for creating arrays containing pseudorandom numbers drawn\n    from an inverse gamma distribution.\n"
@@ -3983,6 +3992,15 @@ random.array.invgamma.seedLength,"\nrandom.array.invgamma.seedLength\n    Length
 random.array.invgamma.state,"\nrandom.array.invgamma.state\n    Generator state.\n"
 random.array.invgamma.stateLength,"\nrandom.array.invgamma.stateLength\n    Length of generator state.\n"
 random.array.invgamma.byteLength,"\nrandom.array.invgamma.byteLength\n    Size (in bytes) of generator state.\n"
+random.array.laplace,"\nrandom.array.laplace( len:integer, mu:number, b:number[, options:Object] )\n    Returns an array containing pseudorandom numbers drawn from a Laplace\n    (double exponential) distribution.\n"
+random.array.laplace.assign,"\nrandom.array.laplace.assign( mu:number, b:number, \n  out:Array|Float64Array|Float32Array )\n    Fills an array with pseudorandom numbers drawn from a Laplace (double\n    exponential) distribution.\n"
+random.array.laplace.factory,"\nrandom.array.laplace.factory( [mu:number, b:number, ][options:Object] )\n    Returns a function for creating arrays containing pseudorandom numbers drawn\n    from a Laplace (double exponential) distribution.\n"
+random.array.laplace.PRNG,"\nrandom.array.laplace.PRNG\n    Underlying pseudorandom number generator.\n"
+random.array.laplace.seed,"\nrandom.array.laplace.seed\n    Pseudorandom number generator seed.\n"
+random.array.laplace.seedLength,"\nrandom.array.laplace.seedLength\n    Length of generator seed.\n"
+random.array.laplace.state,"\nrandom.array.laplace.state\n    Generator state.\n"
+random.array.laplace.stateLength,"\nrandom.array.laplace.stateLength\n    Length of generator state.\n"
+random.array.laplace.byteLength,"\nrandom.array.laplace.byteLength\n    Size (in bytes) of generator state.\n"
 random.array.lognormal,"\nrandom.array.lognormal( len:integer, mu:number, sigma:number[, options:Object] )\n    Returns an array containing pseudorandom numbers drawn from a lognormal\n    distribution.\n"
 random.array.lognormal.assign,"\nrandom.array.lognormal.assign( mu:number, sigma:number, \n  out:Array|Float64Array|Float32Array )\n    Fills an array with pseudorandom numbers drawn from a lognormal\n    distribution.\n"
 random.array.lognormal.factory,"\nrandom.array.lognormal.factory( [mu:number, sigma:number, ][options:Object] )\n    Returns a function for creating arrays containing pseudorandom numbers drawn\n    from a lognormal distribution.\n"