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  • about srandom( time( NULL ))

    may I know the meaning or even how to read this: srandom( time( NULL ))?

    NULL
    A null pointer. Zero. Points to nothing.

    time(NULL)
    The time function returns the current timestamp as an integer. It
    accepts an input argument. If the argument is not null, the current time
    is stored in it.

    srandom(time(NULL))
    The s means "seed". srandom means "seed the random number generator". It
    takes an integer as input, reset the PRNG's internal state derived by
    the input to generate a sequence of random numbers according to it. The
    seed is sometimes used to ensure 2 sequences of random numbers are the
    same, to reproduce an equivalent testing condition.

    In general, you just put some always changing value there to avoid
    having the same sequence every time the program is started. The current
    timestamp is a good value, so time(NULL) is used as the input.
     
     

    Name

    random, srandom, initstate, setstate - random number generator

    Synopsis

    #include <stdlib.h>
    
    long int random(void);
    
    void srandom(unsigned int seed);
    
    char *initstate(unsigned int seed, char *state, size_t n);
    char *setstate(char *state);
    
    
    Feature Test Macro Requirements for glibc (see feature_test_macros(7)):
    random(), srandom(), initstate(), setstate():
    _SVID_SOURCE || _BSD_SOURCE || _XOPEN_SOURCE >= 500 || _XOPEN_SOURCE && _XOPEN_SOURCE_EXTENDED

    Description

     

    The random() function uses a nonlinear additive feedback random number generator employing a default table of size 31 long integers to return successive pseudo-random numbers in the range from 0 to RAND_MAX. The period of this random number generator is very large, approximately 16 * ((2^31) - 1).

    The srandom() function sets its argument as the seed for a new sequence of pseudo-random integers to be returned by random(). These sequences are repeatable by calling srandom() with the same seed value. If no seed value is provided, therandom() function is automatically seeded with a value of 1.

    The initstate() function allows a state array state to be initialized for use by random(). The size of the state array n is used by initstate() to decide how sophisticated a random number generator it should use-the larger the state array, the better the random numbers will be. seed is the seed for the initialization, which specifies a starting point for the random number sequence, and provides for restarting at the same point.

    The setstate() function changes the state array used by the random() function. The state array state is used for random number generation until the next call to initstate() or setstate(). state must first have been initialized using initstate() or be the result of a previous call of setstate().

    Return Value

    The random() function returns a value between 0 and RAND_MAX. The srandom() function returns no value. The initstate() function returns a pointer to the previous state array. The setstate() function returns a pointer to the previous state array, or NULL on error.

    Errors

    EINVAL
    A state array of less than 8 bytes was specified to initstate().

    Conforming To

    4.3BSD, POSIX.1-2001.

    Notes

    Current "optimal" values for the size of the state array n are 8, 32, 64, 128, and 256 bytes; other amounts will be rounded down to the nearest known amount. Using less than 8 bytes will cause an error.

    This function should not be used in cases where multiple threads use random() and the behavior should be reproducible. Use random_r(3) for that purpose.

    Random-number generation is a complex topic. Numerical Recipes in C: The Art of Scientific Computing (William H. Press, Brian P. Flannery, Saul A. Teukolsky, William T. Vetterling; New York: Cambridge University Press, 2007, 3rd ed.) provides an excellent discussion of practical random-number generation issues in Chapter 7 (Random Numbers).

    For a more theoretical discussion which also covers many practical issues in depth, see Chapter 3 (Random Numbers) in Donald E. Knuth's The Art of Computer Programming, volume 2 (Seminumerical Algorithms), 2nd ed.; Reading, Massachusetts: Addison-Wesley Publishing Company, 1981.

     
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  • 原文地址:https://www.cnblogs.com/nickchan/p/3104436.html
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