C++ Interface Random Numbers (GNU MP 6.2.1)
Description: How to install and use the GNU multiple precision arithmetic library, version 6.2.1.

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### 12.5 C++ Interface Random Numbers

Class: gmp_randclass ¶

  The C++ class interface to the GMP random number functions uses `gmp_randclass` to hold an algorithm selection and current state, as per `gmp_randstate_t`.

Function: gmp_randclass::gmp_randclass (void (*randinit) (gmp_randstate_t, …), …) ¶

  Construct a `gmp_randclass`, using a call to the given randinit function (see Random State Initialization). The arguments expected are the same as randinit, but with `mpz_class` instead of `mpz_t`. For example,

      gmp_randclass r1 (gmp_randinit_default);
      gmp_randclass r2 (gmp_randinit_lc_2exp_size, 32);
      gmp_randclass r3 (gmp_randinit_lc_2exp, a, c, m2exp);
      gmp_randclass r4 (gmp_randinit_mt);

  `gmp_randinit_lc_2exp_size` will fail if the size requested is too big, an `std::length_error` exception is thrown in that case.

Function: gmp_randclass::gmp_randclass (gmp_randalg_t alg, …) ¶

  Construct a `gmp_randclass` using the same parameters as `gmp_randinit` (see Random State Initialization). This function is obsolete and the above randinit style should be preferred.

Function: void gmp_randclass::seed (unsigned long int s) ¶
Function: void gmp_randclass::seed (mpz_class s) ¶

  Seed a random number generator. See see Random Number Functions, for how to choose a good seed.

Function: mpz_class gmp_randclass::get_z_bits (mp_bitcnt_t bits) ¶
Function: mpz_class gmp_randclass::get_z_bits (mpz_class bits) ¶

  Generate a random integer with a specified number of bits.

Function: mpz_class gmp_randclass::get_z_range (mpz_class n) ¶

  Generate a random integer in the range 0 to n-1 inclusive.

Function: mpf_class gmp_randclass::get_f () ¶
Function: mpf_class gmp_randclass::get_f (mp_bitcnt_t prec) ¶

  Generate a random float f in the range 0 <= f < 1. f will be to prec bits precision, or if prec is not given then to the precision of the destination. For example,

      gmp_randclass  r;
      ...
      mpf_class  f (0, 512);   // 512 bits precision
      f = r.get_f();           // random number, 512 bits

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