std::uniform_random_bit_generator

 

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Pseudo-random number generation

Uniform random bit generators   uniform_random_bit_generator (C++20) Random number engines linear_congruential_engine (C++11) mersenne_twister_engine (C++11) subtract_with_carry_engine (C++11) philox_engine (C++26) Random number engine adaptors discard_block_engine (C++11) independent_bits_engine (C++11) shuffle_order_engine (C++11) Predefined random number generators Non-deterministic random numbers random_device (C++11) Utilities generate_canonical (C++11) seed_seq (C++11) Random number algorithms ranges::generate_random (C++26) C random library rand    srand    RAND_MAX

Random number distributions Uniform distributions uniform_int_distribution (C++11) uniform_real_distribution (C++11) generate_canonical (C++11) Bernoulli distributions bernoulli_distribution (C++11) binomial_distribution (C++11) negative_binomial_distribution (C++11) geometric_distribution (C++11) Poisson distributions poisson_distribution (C++11) exponential_distribution (C++11) gamma_distribution (C++11) weibull_distribution (C++11) extreme_value_distribution (C++11) Normal distributions normal_distribution (C++11) lognormal_distribution (C++11) chi_squared_distribution (C++11) cauchy_distribution (C++11) fisher_f_distribution (C++11) student_t_distribution (C++11) Sampling distributions discrete_distribution (C++11) piecewise_constant_distribution (C++11) piecewise_linear_distribution (C++11)

 

Defined in header <random>
template< class G > concept uniform_random_bit_generator =     std::invocable<G&> && std::unsigned_integral<std::invoke_result_t<G&>> &&     requires {         { G::min() } -> std::same_as<std::invoke_result_t<G&>>;         { G::max() } -> std::same_as<std::invoke_result_t<G&>>;         requires std::bool_constant<(G::min() < G::max())>::value;     };		(since C++20)

The concept uniform_random_bit_generator<G> specifies that G is the type of a uniform random bit generator, that is, objects of type G is a function object returning unsigned integer values such that each value in the range of possible results has (ideally) equal probability of being returned.

Semantic requirements

uniform_random_bit_generator<G> is modeled only if, given any object g of type G:

• g() is in the range [G::min(), G::max())
• g() has amortized constant complexity.

Notes

In order to satisfy the requirement std::bool_constant<(G::min() < G::max())>::value, both G::min() and G::max() must be constant expressions, and the result of the comparison must be true.