kotlin-numpy / org.jetbrains.numkt.random / Random

Random

class Random (source)

Constructors

<init>

Random()

Companion Object Functions

beta	Draw samples from a Beta distribution. `fun beta(a: Double, b: Double): Doublefun beta(a: DoubleArray, b: Double): KtNDArray<Double>` `fun beta(a: Double, b: DoubleArray): KtNDArray<Double>` `fun beta(a: DoubleArray, b: DoubleArray): KtNDArray<Double>` `fun beta(a: Double, b: Double, vararg size: Int): KtNDArray<Double>` `fun beta(a: DoubleArray, b: Double, vararg size: Int): KtNDArray<Double>` `fun beta(a: Double, b: DoubleArray, vararg size: Int): KtNDArray<Double>` `fun beta(a: DoubleArray, b: DoubleArray, vararg size: Int): KtNDArray<Double>`
binomial	Draw samples from a binomial distribution. `fun binomial(n: Int, p: Double): Longfun binomial(n: IntArray, p: Double): KtNDArray<Long>` `fun binomial(n: Int, p: DoubleArray): KtNDArray<Long>` `fun binomial(n: IntArray, p: DoubleArray): KtNDArray<Long>` `fun binomial(n: Int, p: Double, vararg size: Int): KtNDArray<Long>` `fun binomial(n: IntArray, p: Double, vararg size: Int): KtNDArray<Long>` `fun binomial(n: Int, p: DoubleArray, vararg size: Int): KtNDArray<Long>` `fun binomial(n: IntArray, p: DoubleArray, vararg size: Int): KtNDArray<Long>`
bytes	Return random bytes. `fun bytes(length: Int): ByteArray`
chisquare	Draw samples from a chi-square distribution. `fun chisquare(df: Double): Doublefun chisquare(df: DoubleArray): KtNDArray<Double>` `fun chisquare(df: Double, vararg size: Int): KtNDArray<Double>` `fun chisquare(df: DoubleArray, vararg size: Int): KtNDArray<Double>`
choice	Generates a random sample from a given 1-D array `fun choice(a: Int, replace: Boolean = true): Longfun choice(a: Int, vararg size: Int, replace: Boolean = true, p: DoubleArray? = null): KtNDArray<Long>`
dirichlet	Draw samples from the Dirichlet distribution. `fun <T : Number> dirichlet(alpha: Array<T>, vararg size: Int? = emptyArray()): KtNDArray<Double>`
exponential	Draw samples from an exponential distribution. `fun exponential(scale: Double = 1.0): Doublefun exponential(scale: Double = 1.0, vararg size: Int): KtNDArray<Double>`
f	Draw samples from an F distribution. `fun f(dfnum: Double, dfden: Double): Doublefun f(dfnum: DoubleArray, dfden: Double): KtNDArray<Double>` `fun f(dfnum: Double, dfden: DoubleArray): KtNDArray<Double>` `fun f(dfnum: DoubleArray, dfden: DoubleArray): KtNDArray<Double>` `fun f(dfnum: Double, dfden: Double, vararg size: Int): KtNDArray<Double>` `fun f(dfnum: DoubleArray, dfden: Double, vararg size: Int): KtNDArray<Double>` `fun f(dfnum: Double, dfden: DoubleArray, vararg size: Int): KtNDArray<Double>` `fun f(dfnum: DoubleArray, dfden: DoubleArray, vararg size: Int): KtNDArray<Double>`
gamma	Draw samples from a Gamma distribution. `fun gamma(shape: Double, scale: Double = 1.0): Doublefun gamma(shape: DoubleArray, scale: Double = 1.0): KtNDArray<Double>` `fun gamma(shape: Double, scale: DoubleArray): KtNDArray<Double>` `fun gamma(shape: DoubleArray, scale: DoubleArray): KtNDArray<Double>` `fun gamma(shape: Double, scale: Double = 1.0, vararg size: Int): KtNDArray<Double>` `fun gamma(shape: DoubleArray, scale: Double = 1.0, vararg size: Int): KtNDArray<Double>` `fun gamma(shape: Double, scale: DoubleArray, vararg size: Int): KtNDArray<Double>` `fun gamma(shape: DoubleArray, scale: DoubleArray, vararg size: Int): KtNDArray<Double>`
geometric	Draw samples from the geometric distribution. `fun geometric(p: Double): Longfun geometric(p: DoubleArray): KtNDArray<Long>` `fun geometric(p: Double, vararg size: Int): KtNDArray<Long>` `fun geometric(p: DoubleArray, vararg size: Int): KtNDArray<Long>`
gumbel	Draw samples from a Gumbel distribution. `fun gumbel(loc: Double = 0.0, scale: Double = 1.0): Doublefun gumbel(loc: DoubleArray, scale: Double = 1.0): KtNDArray<Double>` `fun gumbel(loc: Double = 0.0, scale: DoubleArray): KtNDArray<Double>` `fun gumbel(loc: DoubleArray, scale: DoubleArray): KtNDArray<Double>` `fun gumbel(loc: Double = 0.0, scale: Double = 1.0, vararg size: Int): KtNDArray<Double>` `fun gumbel(loc: DoubleArray, scale: Double = 1.0, vararg size: Int): KtNDArray<Double>` `fun gumbel(loc: Double = 0.0, scale: DoubleArray, vararg size: Int): KtNDArray<Double>` `fun gumbel(loc: DoubleArray, scale: DoubleArray, vararg size: Int): KtNDArray<Double>`
hypergeometric	Draw samples from a Hypergeometric distribution. `fun hypergeometric(ngood: Int, nbad: Int, nsample: Int): Doublefun hypergeometric(ngood: IntArray, nbad: Int, nsample: Int): KtNDArray<Double>` `fun hypergeometric(ngood: Int, nbad: IntArray, nsample: Int): KtNDArray<Double>` `fun hypergeometric(ngood: Int, nbad: Int, nsample: IntArray): KtNDArray<Double>` `fun hypergeometric(ngood: IntArray, nbad: IntArray, nsample: Int): KtNDArray<Double>` `fun hypergeometric(ngood: Int, nbad: IntArray, nsample: IntArray): KtNDArray<Double>` `fun hypergeometric(ngood: IntArray, nbad: Int, nsample: IntArray): KtNDArray<Double>` `fun hypergeometric(ngood: IntArray, nbad: IntArray, nsample: IntArray): KtNDArray<Double>` `fun hypergeometric(ngood: Int, nbad: Int, nsample: Int, vararg size: Int): KtNDArray<Double>` `fun hypergeometric(ngood: IntArray, nbad: Int, nsample: Int, vararg size: Int): KtNDArray<Double>` `fun hypergeometric(ngood: Int, nbad: IntArray, nsample: Int, vararg size: Int): KtNDArray<Double>` `fun hypergeometric(ngood: Int, nbad: Int, nsample: IntArray, vararg size: Int): KtNDArray<Double>` `fun hypergeometric(ngood: IntArray, nbad: IntArray, nsample: Int, vararg size: Int): KtNDArray<Double>` `fun hypergeometric(ngood: Int, nbad: IntArray, nsample: IntArray, vararg size: Int): KtNDArray<Double>` `fun hypergeometric(ngood: IntArray, nbad: Int, nsample: IntArray, vararg size: Int): KtNDArray<Double>` `fun hypergeometric(ngood: IntArray, nbad: IntArray, nsample: IntArray, vararg size: Int): KtNDArray<Double>`
laplace	Draw samples from the Laplace or double exponential distribution with specified location (or mean) and scale (decay). `fun laplace(loc: Double = 0.0, scale: Double = 1.0): Doublefun laplace(loc: DoubleArray, scale: Double = 1.0): KtNDArray<Double>` `fun laplace(loc: Double = 0.0, scale: DoubleArray): KtNDArray<Double>` `fun laplace(loc: DoubleArray, scale: DoubleArray): KtNDArray<Double>` `fun laplace(loc: Double = 0.0, scale: Double = 1.0, vararg size: Int): KtNDArray<Double>` `fun laplace(loc: DoubleArray, scale: Double = 1.0, vararg size: Int): KtNDArray<Double>` `fun laplace(loc: Double = 0.0, scale: DoubleArray, vararg size: Int): KtNDArray<Double>` `fun laplace(loc: DoubleArray, scale: DoubleArray, vararg size: Int): KtNDArray<Double>`
logistic	Draw samples from a logistic distribution. `fun logistic(loc: Double = 0.0, scale: Double = 1.0): Doublefun logistic(loc: DoubleArray, scale: Double = 1.0): KtNDArray<Double>` `fun logistic(loc: Double = 0.0, scale: DoubleArray): KtNDArray<Double>` `fun logistic(loc: DoubleArray, scale: DoubleArray): KtNDArray<Double>` `fun logistic(loc: Double = 0.0, scale: Double = 1.0, vararg size: Int): KtNDArray<Double>` `fun logistic(loc: DoubleArray, scale: Double = 1.0, vararg size: Int): KtNDArray<Double>` `fun logistic(loc: Double = 0.0, scale: DoubleArray, vararg size: Int): KtNDArray<Double>` `fun logistic(loc: DoubleArray, scale: DoubleArray, vararg size: Int): KtNDArray<Double>`
lognormal	Draw samples from a log-normal distribution. `fun lognormal(mean: Double = 0.0, sigma: Double = 1.0): Doublefun lognormal(mean: DoubleArray, sigma: Double = 1.0): KtNDArray<Double>` `fun lognormal(mean: Double = 0.0, sigma: DoubleArray): KtNDArray<Double>` `fun lognormal(mean: DoubleArray, sigma: DoubleArray): KtNDArray<Double>` `fun lognormal(mean: Double = 0.0, sigma: Double = 1.0, vararg size: Int): KtNDArray<Double>` `fun lognormal(mean: DoubleArray, sigma: Double = 1.0, vararg size: Int): KtNDArray<Double>` `fun lognormal(mean: Double = 0.0, sigma: DoubleArray, vararg size: Int): KtNDArray<Double>` `fun lognormal(mean: DoubleArray, sigma: DoubleArray, vararg size: Int): KtNDArray<Double>`
logseries	Draw samples from a logarithmic series distribution. `fun logseries(p: Double): Longfun logseries(p: DoubleArray): KtNDArray<Long>` `fun logseries(p: Double, vararg size: Int): KtNDArray<Long>` `fun logseries(p: DoubleArray, vararg size: Int): KtNDArray<Long>`
multinomial	Draw samples from a multinomial distribution. `fun multinomial(n: Int, pvals: DoubleArray, vararg size: Int? = emptyArray()): KtNDArray<Long>`
multivariateNormal	Draw random samples from a multivariate normal distribution. `fun <T : Number, E : Number> multivariateNormal(mean: KtNDArray<T>, cov: KtNDArray<E>, size: IntArray? = null, checkValid: String? = null, tol: Double? = null): KtNDArray<Double>`
negativeBinomial	Draw samples from a negative binomial distribution. `fun negativeBinomial(n: Int, p: Double): Longfun negativeBinomial(n: IntArray, p: Double): KtNDArray<Long>` `fun negativeBinomial(n: Int, p: DoubleArray): KtNDArray<Long>` `fun negativeBinomial(n: IntArray, p: DoubleArray): KtNDArray<Long>` `fun negativeBinomial(n: Int, p: Double, vararg size: Int): KtNDArray<Long>` `fun negativeBinomial(n: IntArray, p: Double, vararg size: Int): KtNDArray<Long>` `fun negativeBinomial(n: Int, p: DoubleArray, vararg size: Int): KtNDArray<Long>` `fun negativeBinomial(n: IntArray, p: DoubleArray, vararg size: Int): KtNDArray<Long>`
noncentralChisquare	Draw samples from a noncentral chi-square distribution. `fun noncentralChisquare(df: Double, nonc: Double): Doublefun noncentralChisquare(df: DoubleArray, nonc: Double): KtNDArray<Double>` `fun noncentralChisquare(df: Double, nonc: DoubleArray): KtNDArray<Double>` `fun noncentralChisquare(df: DoubleArray, nonc: DoubleArray): KtNDArray<Double>` `fun noncentralChisquare(df: Double, nonc: Double, vararg size: Int): KtNDArray<Double>` `fun noncentralChisquare(df: DoubleArray, nonc: Double, vararg size: Int): KtNDArray<Double>` `fun noncentralChisquare(df: Double, nonc: DoubleArray, vararg size: Int): KtNDArray<Double>` `fun noncentralChisquare(df: DoubleArray, nonc: DoubleArray, vararg size: Int): KtNDArray<Double>`
noncentralF	Draw samples from the noncentral F distribution. `fun noncentralF(dfnum: Double, dfden: Double, nonc: Double): Doublefun noncentralF(dfnum: DoubleArray, dfden: Double, nonc: Double): KtNDArray<Double>` `fun noncentralF(dfnum: Double, dfden: DoubleArray, nonc: Double): KtNDArray<Double>` `fun noncentralF(dfnum: Double, dfden: Double, nonc: DoubleArray): KtNDArray<Double>` `fun noncentralF(dfnum: DoubleArray, dfden: DoubleArray, nonc: Double): KtNDArray<Double>` `fun noncentralF(dfnum: Double, dfden: DoubleArray, nonc: DoubleArray): KtNDArray<Double>` `fun noncentralF(dfnum: DoubleArray, dfden: Double, nonc: DoubleArray): KtNDArray<Double>` `fun noncentralF(dfnum: DoubleArray, dfden: DoubleArray, nonc: DoubleArray): KtNDArray<Double>` `fun noncentralF(dfnum: Double, dfden: Double, nonc: Double, vararg size: Int): KtNDArray<Double>` `fun noncentralF(dfnum: DoubleArray, dfden: Double, nonc: Double, vararg size: Int): KtNDArray<Double>` `fun noncentralF(dfnum: Double, dfden: DoubleArray, nonc: Double, vararg size: Int): KtNDArray<Double>` `fun noncentralF(dfnum: Double, dfden: Double, nonc: DoubleArray, vararg size: Int): KtNDArray<Double>` `fun noncentralF(dfnum: DoubleArray, dfden: DoubleArray, nonc: Double, vararg size: Int): KtNDArray<Double>` `fun noncentralF(dfnum: Double, dfden: DoubleArray, nonc: DoubleArray, vararg size: Int): KtNDArray<Double>` `fun noncentralF(dfnum: DoubleArray, dfden: Double, nonc: DoubleArray, vararg size: Int): KtNDArray<Double>` `fun noncentralF(dfnum: DoubleArray, dfden: DoubleArray, nonc: DoubleArray, vararg size: Int): KtNDArray<Double>`
normal	Draw random samples from a normal (Gaussian) distribution. `fun normal(loc: Double = 0.0, scale: Double = 1.0): Doublefun normal(loc: DoubleArray, scale: Double = 0.0): KtNDArray<Double>` `fun normal(loc: Double = 0.0, scale: DoubleArray): KtNDArray<Double>` `fun normal(loc: DoubleArray, scale: DoubleArray): KtNDArray<Double>` `fun normal(loc: Double = 0.0, scale: Double = 1.0, size: Int): KtNDArray<Double>` `fun normal(loc: Double = 0.0, scale: Double = 1.0, vararg size: Int): KtNDArray<Double>` `fun normal(loc: DoubleArray, scale: Double = 1.0, size: Int): KtNDArray<Double>` `fun normal(loc: DoubleArray, scale: Double = 1.0, vararg size: Int): KtNDArray<Double>` `fun normal(loc: Double = 0.0, scale: DoubleArray, size: Int): KtNDArray<Double>` `fun normal(loc: Double = 0.0, scale: DoubleArray, vararg size: Int): KtNDArray<Double>` `fun normal(loc: DoubleArray, scale: DoubleArray, size: Int): KtNDArray<Double>` `fun normal(loc: DoubleArray, scale: DoubleArray, vararg size: Int): KtNDArray<Double>`
pareto	Draw samples from a Pareto II or Lomax distribution with specified shape. `fun pareto(a: Double): Doublefun pareto(a: DoubleArray): KtNDArray<Double>` `fun pareto(a: Double, vararg size: Int): KtNDArray<Double>` `fun pareto(a: DoubleArray, vararg size: Int): KtNDArray<Double>`
permutation	Randomly permute a sequence, or return a permuted range. `fun permutation(x: Int): KtNDArray<Long>fun permutation(x: Long): KtNDArray<Long>` `fun permutation(x: IntArray): KtNDArray<Long>` `fun <T : Number> permutation(x: KtNDArray<T>): KtNDArray<T>`
poisson	Draw samples from a Poisson distribution. `fun poisson(lam: Double = 1.0): Doublefun poisson(lam: DoubleArray): KtNDArray<Double>` `fun poisson(lam: Double = 1.0, vararg size: Int): KtNDArray<Double>` `fun poisson(lam: DoubleArray, vararg size: Int): KtNDArray<Double>`
power	Draws samples in `[0, 1]` from a power distribution with positive exponent a - 1. `fun power(a: Double): Doublefun power(a: DoubleArray): KtNDArray<Double>` `fun power(a: Double, vararg size: Int): KtNDArray<Double>` `fun power(a: DoubleArray, vararg size: Int): KtNDArray<Double>`
rand	Random values in a given shape. Defaults scalar. `fun rand(): Double` Create an array of the given shape and populate it with random samples from a uniform distribution over [0, 1) `fun rand(vararg d: Int): KtNDArray<Double>`
randint	Return random integers from low (inclusive) to high (exclusive). `fun <T : Number> randint(low: Int, high: Int? = null): Tfun <T : Number> randint(low: Int, high: Int? = null, vararg size: Int): KtNDArray<T>`
randn	Return a sample (or samples) from the “standard normal” distribution. Defaults scalar. `fun randn(): Doublefun randn(vararg d: Int): KtNDArray<Double>`
random	Return random floats in the half-open interval [0.0, 1.0). Defaults scalar. `fun random(): Doublefun random(vararg size: Int): KtNDArray<Double>`
randomIntegers	Random integers of type Long between low and high, inclusive. `fun randomIntegers(low: Int, high: Int? = null): Longfun randomIntegers(low: Int, high: Int? = null, vararg size: Int): KtNDArray<Long>`
randomSample	Return random floats in the half-open interval [0.0, 1.0). `fun randomSample(): Doublefun randomSample(vararg size: Int): KtNDArray<Double>`
ranf	Return random floats in the half-open interval [0.0, 1.0). Defaults scalar. `fun ranf(): Doublefun ranf(vararg size: Int): KtNDArray<Double>`
rayleigh	Draw samples from a Rayleigh distribution. `fun rayleigh(scale: Double = 1.0): Doublefun rayleigh(scale: DoubleArray): KtNDArray<Double>` `fun rayleigh(scale: Double = 1.0, vararg size: Int): KtNDArray<Double>` `fun rayleigh(scale: DoubleArray, vararg size: Int): KtNDArray<Double>`
sample	Return random floats in the half-open interval [0.0, 1.0). `fun sample(): Doublefun sample(vararg size: Int): KtNDArray<Double>`
shuffle	Modify a sequence in-place by shuffling its contents. `fun <T : Any> shuffle(x: KtNDArray<T>): Unit`
standardExponential	Draw samples from the standard exponential distribution. `fun standardExponential(): Doublefun standardExponential(vararg size: Int): KtNDArray<Double>`
standardGamma	Draw samples from a standard Gamma distribution. `fun standardGamma(shape: Double): Doublefun standardGamma(shape: DoubleArray): KtNDArray<Double>` `fun standardGamma(shape: Double, vararg size: Int): KtNDArray<Double>` `fun standardGamma(shape: DoubleArray, vararg size: Int): KtNDArray<Double>`
standardNormal	Draw samples from a standard Normal distribution (mean=0, stdev=1). `fun standardNormal(): Doublefun standardNormal(vararg size: Int): KtNDArray<Double>`
standardT	Draw samples from a standard Student’s t distribution with df degrees of freedom. `fun standardT(df: Double): Doublefun standardT(df: DoubleArray): KtNDArray<Double>` `fun standardT(df: Double, vararg size: Int): KtNDArray<Double>` `fun standardT(df: DoubleArray, vararg size: Int): KtNDArray<Double>`
standartCauchy	Draw samples from a standard Cauchy distribution with mode = 0. `fun standartCauchy(): Doublefun standartCauchy(vararg size: Int): KtNDArray<Double>`
triangular	Draw samples from the triangular distribution over the interval [left, right]. `fun triangular(left: Double, mode: Double, right: Double): Doublefun triangular(left: DoubleArray, mode: Double, right: Double): KtNDArray<Double>` `fun triangular(left: Double, mode: DoubleArray, right: Double): KtNDArray<Double>` `fun triangular(left: Double, mode: Double, right: DoubleArray): KtNDArray<Double>` `fun triangular(left: DoubleArray, mode: DoubleArray, right: Double): KtNDArray<Double>` `fun triangular(left: Double, mode: DoubleArray, right: DoubleArray): KtNDArray<Double>` `fun triangular(left: DoubleArray, mode: Double, right: DoubleArray): KtNDArray<Double>` `fun triangular(left: DoubleArray, mode: DoubleArray, right: DoubleArray): KtNDArray<Double>` `fun triangular(left: Double, mode: Double, right: Double, vararg size: Int): KtNDArray<Double>` `fun triangular(left: DoubleArray, mode: Double, right: Double, vararg size: Int): KtNDArray<Double>` `fun triangular(left: Double, mode: DoubleArray, right: Double, vararg size: Int): KtNDArray<Double>` `fun triangular(left: Double, mode: Double, right: DoubleArray, vararg size: Int): KtNDArray<Double>` `fun triangular(left: DoubleArray, mode: DoubleArray, right: Double, vararg size: Int): KtNDArray<Double>` `fun triangular(left: Double, mode: DoubleArray, right: DoubleArray, vararg size: Int): KtNDArray<Double>` `fun triangular(left: DoubleArray, mode: Double, right: DoubleArray, vararg size: Int): KtNDArray<Double>` `fun triangular(left: DoubleArray, mode: DoubleArray, right: DoubleArray, vararg size: Int): KtNDArray<Double>`
uniform	Draw samples from a uniform distribution. `fun uniform(low: Double = 0.0, high: Double = 1.0): Doublefun uniform(low: DoubleArray, high: Double = 1.0): KtNDArray<Double>` `fun uniform(low: Double = 0.0, high: DoubleArray): KtNDArray<Double>` `fun uniform(low: DoubleArray, high: DoubleArray): KtNDArray<Double>` `fun uniform(low: Double = 0.0, high: Double = 1.0, vararg size: Int): KtNDArray<Double>` `fun uniform(low: DoubleArray, high: Double = 1.0, vararg size: Int): KtNDArray<Double>` `fun uniform(low: Double = 0.0, high: DoubleArray, vararg size: Int): KtNDArray<Double>` `fun uniform(low: DoubleArray, high: DoubleArray, vararg size: Int): KtNDArray<Double>`
vonmises	Draw samples from a von Mises distribution. `fun vonmises(mu: Double, kappa: Double): Doublefun vonmises(mu: DoubleArray, kappa: Double): KtNDArray<Double>` `fun vonmises(mu: Double, kappa: DoubleArray): KtNDArray<Double>` `fun vonmises(mu: DoubleArray, kappa: DoubleArray): KtNDArray<Double>` `fun vonmises(mu: Double, kappa: Double, vararg size: Int): KtNDArray<Double>` `fun vonmises(mu: DoubleArray, kappa: Double, vararg size: Int): KtNDArray<Double>` `fun vonmises(mu: Double, kappa: DoubleArray, vararg size: Int): KtNDArray<Double>` `fun vonmises(mu: DoubleArray, kappa: DoubleArray, vararg size: Int): KtNDArray<Double>`
wald	Draw samples from a Wald, or inverse Gaussian, distribution. `fun wald(mean: Double, scale: Double): Doublefun wald(mean: DoubleArray, scale: Double): KtNDArray<Double>` `fun wald(mean: Double, scale: DoubleArray): KtNDArray<Double>` `fun wald(mean: DoubleArray, scale: DoubleArray): KtNDArray<Double>` `fun wald(mean: Double, scale: Double, vararg size: Int): KtNDArray<Double>` `fun wald(mean: DoubleArray, scale: Double, vararg size: Int): KtNDArray<Double>` `fun wald(mean: Double, scale: DoubleArray, vararg size: Int): KtNDArray<Double>` `fun wald(mean: DoubleArray, scale: DoubleArray, vararg size: Int): KtNDArray<Double>`
weibull	Draw samples from a Weibull distribution. `fun weibull(a: Double): Doublefun weibull(a: DoubleArray): KtNDArray<Double>` `fun weibull(a: Double, vararg size: Int): KtNDArray<Double>` `fun weibull(a: DoubleArray, vararg size: Int): KtNDArray<Double>`
zipf	Draw samples from a Zipf distribution. `fun zipf(a: Double): Longfun zipf(a: DoubleArray): KtNDArray<Long>` `fun zipf(a: Double, vararg size: Int): KtNDArray<Long>` `fun zipf(a: DoubleArray, vararg size: Int): KtNDArray<Long>`