Examples of java.util.Random.nextFloat()

java.util.Random.nextFloat()
Returns the next pseudorandom, uniformly distributed {@code float}value between {@code 0.0} and {@code 1.0} from this randomnumber generator's sequence.
The general contract of {@code nextFloat} is that one{@code float} value, chosen (approximately) uniformly from therange {@code 0.0f} (inclusive) to {@code 1.0f} (exclusive), ispseudorandomly generated and returned. All 2²⁴ possible {@code float} valuesof the form m x 2^-24, where m is a positive integer less than 2²⁴ , are produced with (approximately) equal probability.
The method {@code nextFloat} is implemented by class {@code Random}as if by:
```
  {@code}public float nextFloat()  return next(24) / ((float)(1 << 24)); }}
```
The hedge "approximately" is used in the foregoing description only because the next method is only approximately an unbiased source of independently chosen bits. If it were a perfect source of randomly chosen bits, then the algorithm shown would choose {@code float}values from the stated range with perfect uniformity.
[In early versions of Java, the result was incorrectly calculated as:
```
  {@code return next(30) / ((float)(1 << 30));}
```
This might seem to be equivalent, if not better, but in fact it introduced a slight nonuniformity because of the bias in the rounding of floating-point numbers: it was slightly more likely that the low-order bit of the significand would be 0 than that it would be 1.] @return the next pseudorandom, uniformly distributed {@code float}value between {@code 0.0} and {@code 1.0} from thisrandom number generator's sequence

                Random rnd = new Random(9);
                int len = ARRAY_TEST_LENGTHS[i-1];
                data = new float[len];
                for (int ix = 0; ix < len; ++ix) {
                    // Need to scale: nextFloat is [0.0, 1.0[
                    float value = rnd.nextFloat();
                    if (rnd.nextBoolean()) {
                        value = (float) (value * rnd.nextInt());
                    }
                    if (rnd.nextBoolean()) {
                        value = -value;

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  */
  private static String generateRandomString() {
    final StringBuffer res = new StringBuffer();
    final Random rnd = new SecureRandom();
    for (int i = 0; i < 32; i++) {
      int pos = (int) (rnd.nextFloat() * CHARS.length());
      res.append(CHARS.charAt(pos));
    }
  
    return res.toString();
  }

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    public static List<Color> getSequenceColors(int num) {
        List<Color> colors = new LinkedList<Color>();


        //On choisit H et S au random
        Random random = new Random();
        float B = random.nextFloat() * 2 / 5f + 0.6f;    //    0.6 <=   B   < 1
        float S = random.nextFloat() * 2 / 5f + 0.6f;    //    0.6 <=   S   < 1
        //System.out.println("B : "+B+"  S : "+S);


        for (int i = 1; i <= num; i++) {
            float H = i / (float) num;

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        List<Color> colors = new LinkedList<Color>();


        //On choisit H et S au random
        Random random = new Random();
        float B = random.nextFloat() * 2 / 5f + 0.6f;    //    0.6 <=   B   < 1
        float S = random.nextFloat() * 2 / 5f + 0.6f;    //    0.6 <=   S   < 1
        //System.out.println("B : "+B+"  S : "+S);


        for (int i = 1; i <= num; i++) {
            float H = i / (float) num;
            //System.out.println(H);

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    public static List<Color> getSequenceColors(int num) {
        List<Color> colors = new LinkedList<Color>();


        //On choisit H et S au random
        Random random = new Random();
        float B = random.nextFloat() * 2 / 5f + 0.6f;    //    0.6 <=   B   < 1
        float S = random.nextFloat() * 2 / 5f + 0.6f;    //    0.6 <=   S   < 1
        //System.out.println("B : "+B+"  S : "+S);


        for (int i = 1; i <= num; i++) {
            float H = i / (float) num;

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        List<Color> colors = new LinkedList<Color>();


        //On choisit H et S au random
        Random random = new Random();
        float B = random.nextFloat() * 2 / 5f + 0.6f;    //    0.6 <=   B   < 1
        float S = random.nextFloat() * 2 / 5f + 0.6f;    //    0.6 <=   S   < 1
        //System.out.println("B : "+B+"  S : "+S);


        for (int i = 1; i <= num; i++) {
            float H = i / (float) num;
            //System.out.println(H);

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      byte[] family;
      byte[] qualifier;
      byte[] value;


      // generate it or repeat, it should compress well
      if (0 < i && randomizer.nextFloat() < CHANCE_TO_REPEAT) {
        row = keyValues.get(randomizer.nextInt(keyValues.size())).getRow();
      } else {
        row = new byte[FIELD_LENGTH];
        randomizer.nextBytes(row);
      }

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        family = new byte[FIELD_LENGTH];
        randomizer.nextBytes(family);
      } else {
        family = keyValues.get(0).getFamily();
      }
      if (0 < i && randomizer.nextFloat() < CHANCE_TO_REPEAT) {
        qualifier = keyValues.get(
            randomizer.nextInt(keyValues.size())).getQualifier();
      } else {
        qualifier = new byte[FIELD_LENGTH];
        randomizer.nextBytes(qualifier);

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            randomizer.nextInt(keyValues.size())).getQualifier();
      } else {
        qualifier = new byte[FIELD_LENGTH];
        randomizer.nextBytes(qualifier);
      }
      if (0 < i && randomizer.nextFloat() < CHANCE_TO_REPEAT) {
        value = keyValues.get(randomizer.nextInt(keyValues.size())).getValue();
      } else {
        value = new byte[FIELD_LENGTH];
        randomizer.nextBytes(value);
      }

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        value = keyValues.get(randomizer.nextInt(keyValues.size())).getValue();
      } else {
        value = new byte[FIELD_LENGTH];
        randomizer.nextBytes(value);
      }
      if (0 < i && randomizer.nextFloat() < CHANCE_TO_REPEAT) {
        timestamp = keyValues.get(
            randomizer.nextInt(keyValues.size())).getTimestamp();
      } else {
        timestamp = randomizer.nextLong();
      }

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