Streams

This example demonstrates the second parameter (stream) in the Generator constructor. The stream parameter enables multiple independent random sequences with the same seed, which is critical for generating different types of data (Users, Addresses, Products) without interference.

All language implementations produce identical output.

Expected Output

<value_stream_0>
<value_stream_1>

Both generators use same seed, but different stream values produce independent sequences. The <value_stream_0> and <value_stream_1> will be different, demonstrating stream independence.

Source Codes

Go

package main

import "github.com/pseudata/pseudata"

func main() {
  gen0 := pseudata.NewGenerator(42, 0)
  gen1 := pseudata.NewGenerator(42, 1)

  println(gen0.NextInt())
  println(gen1.NextInt())
}

Java

import dev.pseudata.Generator;

public class Main {
  public static void main(String[] args) {

    Generator gen0 = new Generator(42, 0);
    Generator gen1 = new Generator(42, 1);

    System.out.println(gen0.nextInt());
    System.out.println(gen1.nextInt());
  }
}

Python

from pseudata import Generator

gen0 = Generator(42, 0)
gen1 = Generator(42, 1)

print(gen0.next_int())
print(gen1.next_int())

TypeScript

import { Generator } from "@pseudata/core";

const gen0 = new Generator(42, 0);
const gen1 = new Generator(42, 1);

console.log(gen0.nextInt());
console.log(gen1.nextInt());