A random_device uniform random bit generator produces nondeterministic random numbers.
If implementation limitations prevent generating nondeterministic random numbers, the implementation may employ a random number engine.
class random_device {
public:
using result_type = unsigned int;
static constexpr result_type min() { return numeric_limits<result_type>::min(); }
static constexpr result_type max() { return numeric_limits<result_type>::max(); }
explicit random_device(const string& token = implementation-defined);
result_type operator()();
double entropy() const noexcept;
// no copy functions
random_device(const random_device& ) = delete;
void operator=(const random_device& ) = delete;
};
explicit random_device(const string& token = implementation-defined);
Effects: Constructs a random_device nondeterministic uniform random bit generator object. The semantics and default value of the token parameter are implementation-defined.271
Throws: A value of an implementation-defined type derived from exception if the random_device could not be initialized.
double entropy() const noexcept;
Returns: If the implementation employs a random number engine, returns 0.0. Otherwise, returns an entropy estimate272 for the random numbers returned by operator(), in the range min() to log2(max()+1).
result_type operator()();
Returns: A nondeterministic random value, uniformly distributed between min() and max(), inclusive. It is implementation-defined how these values are generated.
Throws: A value of an implementation-defined type derived from exception if a random number could not be obtained.
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