Added Random Generation Functions for Various Distributions

Why it matters

These new functions enable users to simulate and generate random data that follows specific probability distributions directly within ClickHouse queries. This is useful for testing, data simulation, statistical analysis, and probabilistic modeling without external tools.

How to use it

Use the provided functions such as randUniform, randNormal, randLogNormal, randExponential, randChiSquared, randStudentT, randFisherF, randBernoulli, randBinomial, randNegativeBinomial, and randPoisson as scalar functions in SQL queries to generate random samples according to their respective distributions. For example:

SELECT randNormal(0, 1) AS normal_sample FROM numbers(10);