Reproducing random floating point number generation in different languages

my_random.m

rand('state', 0);
rand();
rand();
// Output:
// 0.84442
// 0.75795

my_random.py

from random import *
seed(0, version=1)
print(random())
print(random())
# Output:
# 0.8444218515250481
# 0.7579544029403025

my_random_alt.py

import numpy as np
np.random.seed(0)
print(np.random.random())
print(np.random.random())
# Output:
# 0.5488135039273248
# 0.7151893663724195

my_random_alt.rb

import 'random'
srand(0)
p rand()
p rand()
# Output
# 0.5488135039273248
# 0.7151893663724195

my_random_alt2.cpp

#include <iostream>
#include <chrono>
#include <random>
#include <iomanip>

int main ()
{
  std::mt19937 generator (0.0);
  std::uniform_real_distribution<float> dis(0.0, 1.0);

  std::cout << std::setprecision(15);
  std::cout << std::setiosflags (std::ios::fixed);
  std::cout << dis(generator) << std::endl;
  std::cout << dis(generator) << std::endl;
  std::cout << dis(generator) << std::endl;
  // Output:
  // 0.548813521862030
  // 0.592844605445862
  // 0.715189337730408

  return 0;
}

my_random_alt2.cs

using System;
using MathNet.Numerics.Random;

namespace random
{
    class Program
    {
        static void Main(string[] args)
        {
            double[] arr = MersenneTwister.Doubles(3, 0);
            Console.WriteLine(arr[0]);
            Console.WriteLine(arr[1]);
            Console.WriteLine(arr[2]);
            // Output:
            // 0.548813502304256
            // 0.5928446163889021
            // 0.715189364971593
        }
    }
}

my_random_alt2.pl

#!/usr/bin/perl -w
use strict;
use feature 'say';

use Math::Random::MT;

my $r = Math::Random::MT->new(0);
say $r->rand();
say $r->rand();
say $r->rand();

# Output:
# 0.548813502304256
# 0.592844616388902
# 0.715189364971593