Here's a theoretical explanation of how to write a random number generator that simulates a dice and generates random numbers between 1 and 6.
A conventional six-sided die is numbered from 1 to 6. By employing a random number generator, here simulate the behaviour of a die by generating numbers within this specific range. Many programming languages offer built-in functions or libraries for generating random numbers, typically producing random floating-point numbers between 0 and 1. To replicate the range of a standard die (1 to 6), it becomes necessary to adjust and scale the range of the random numbers generated.
In Python, the random.randint(min, max) function utilizes a pseudorandom number generator (PRNG) to generate seemingly random integers within a given range(default range is between –1 and +1). While these numbers are not genuinely random, they are deterministically generated based on an initial seed value. The PRNG initiates with a seed value, often defaulting to the current system time if a seed is not explicitly provided using random.seed(). The generator employs a mathematical algorithm to create a sequence of numbers that appears random. Subsequently, this sequence is mapped to the specified range (min to max, inclusive) through some mathematical operations(like addition or multiplication), and the final mapped value is returned as the output of the random.randint(min, max) function call.