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Random in a Int[]


Random in a Int[]

By : Shawn Frost
Date : November 18 2020, 01:01 AM
wish help you to fix your issue I want to the player receive a random item in the Int[] ,
"I want to the player receive a random item in the Int[]"
code :
int randomNumber = ItensIds[random.nextInt(ItensIds.length)];


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Tetris Random Generator: random.choice with permutations versus random.shuffle

Tetris Random Generator: random.choice with permutations versus random.shuffle


By : Mihael Veber
Date : March 29 2020, 07:55 AM
it fixes the issue I'd say that the time to shuffle a tiny list is simply trivial, so don't worry about it. Either method should be "equally random", so there's no basis for deciding there.
But rather than muck with both lists and deques, I'd use a tile generator instead:
code :
def get_tile():
    from random import shuffle
    tiles = list("IJLOSTZ")
    while True:
        shuffle(tiles)
        for tile in tiles:
            yield tile
class PeekableQueue:
    def __init__(self, item_getter, maxpeek=50):
        self.getter = item_getter
        self.maxpeek = maxpeek
        self.b = [next(item_getter) for _ in range(maxpeek)]
        self.i = 0

    def pop(self):
        result = self.b[self.i]
        self.b[self.i] = next(self.getter)
        self.i += 1
        if self.i >= self.maxpeek:
            self.i = 0
        return result

    def peek(self, n):
        if not 0 <= n <= self.maxpeek:
            raise ValueError("bad peek argument %r" % n)
        nthruend = self.maxpeek - self.i
        if n <= nthruend:
            result = self.b[self.i : self.i + n]
        else:
            result = self.b[self.i:] + self.b[:n - nthruend]
        return result

q = PeekableQueue(get_tile())
Drawing random Circles in Random Locations in Random Sizes Android

Drawing random Circles in Random Locations in Random Sizes Android


By : user2514892
Date : March 29 2020, 07:55 AM
will be helpful for those in need Your random function is not effective to draw circles on the current view (most likely because you have high resolution device) you have to get with and height of the view to draw your circle on it randomly.
code :
    int minRadius = 100;
    Random random = new Random();//define this outside you onDraw fucntion 
    int w = getWidth();
    int h = getHeight();

    int randX = random.nextInt(w);
    int randY = random.nextInt(h);
    int randR = minRadius + random.nextInt(100);
    ...
    c.drawCircle(randX, randY, randR, p);
canvas.drawColor(Color.WHITLE);
Creating an object of Random class or using Math.random() in order to generate random numbers

Creating an object of Random class or using Math.random() in order to generate random numbers


By : Halbert
Date : March 29 2020, 07:55 AM
I wish this help you Math.random() uses the Random class. And it's basically calling nextDouble() on the Random object of the Math class.
However the first method is definitely easier to understand and use. And has more options then the Math class has. So I'd go with the Random class if you need a lot of Random numbers or if you need types other then double. And I'd use Math.random() when you only need a double between 0 and 1.
Seeding pseudo random generator with random number from a better random source

Seeding pseudo random generator with random number from a better random source


By : TWCobb
Date : March 29 2020, 07:55 AM
it helps some times No, definitely not. The C/C++ standard library's builtin rand() function is usually implemented as a linear congruential generator (LCG). It is among the earliest known family of pseudorandom number generators (PRNGs) and they generally have notoriously bad statistical properties. Furthermore since PRNGs actually produce a mathematical sequence predetermined by an initial seed, they are predictable. Even cryptographically secure pseudorandom number generators (like the Blum Blum Shub) are predictable, even if it's computationally difficult and very time consuming to predict the sequence.
In contrast, random number generators based on radioactive decay are true random number generators. The generated sequence of numbers is perfectly uniformly distributed and unpredictable, without any measurable correlation between the samples.
Shorter runtime of `random.shuffle` when using `random.random` as keyword argument in Python3

Shorter runtime of `random.shuffle` when using `random.random` as keyword argument in Python3


By : Chrysogonus
Date : March 29 2020, 07:55 AM
Any of those help The docstring in the function random.shuffle contradicts the code. In python 2.7.2+ the docstring is correct:
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