Throughout this subclause [rand], the effect of instantiating a template:
a)that has a template type parameter named Sseq is undefined unless the corresponding template argument is cv-unqualified and satisfies the requirements of seed sequence.
b)that has a template type parameter named URBG is undefined unless the corresponding template argument is cv-unqualified and satisfies the requirements of uniform random bit generator.
c)that has a template type parameter named Engine is undefined unless the corresponding template argument is cv-unqualified and satisfies the requirements of random number engine.
d)that has a template type parameter named RealType is undefined unless the corresponding template argument is cv-unqualified and is one of float, double, or long double.
e)that has a template type parameter named IntType is undefined unless the corresponding template argument is cv-unqualified and is one of short, int, long, long long, unsigned short, unsigned int, unsigned long, or unsigned long long.
f)that has a template type parameter named UIntType is undefined unless the corresponding template argument is cv-unqualified and is one of unsigned short, unsigned int, unsigned long, or unsigned long long.
Throughout this subclause [rand], phrases of the form “x is an iterator of a specific kind” shall be interpreted as equivalent to the more formal requirement that “x is a value of a type satisfying the requirements of the specified iterator type”.
Throughout this subclause [rand], any constructor that can be called with a single argument and that satisfies a requirement specified in this subclause shall be declared explicit.
29.6.1.2 Seed sequence requirements [rand.req.seedseq]A seed sequence is an object that consumes a sequence of integer-valued data and produces a requested number of unsigned integer values i, 0≤i<232, based on the consumed data. [ Note: Such an object provides a mechanism to avoid replication of streams of random variates. This can be useful, for example, in applications requiring large numbers of random number engines. — end note ]
A class S satisfies the requirements of a seed sequence if the expressions shown in Table 102 are valid and have the indicated semantics, and if S also satisfies all other requirements of this section [rand.req.seedseq]. In that Table and throughout this section:
a)T is the type named by S's associated result_type;
b)q is a value of S and r is a possibly const value of S;
c)ib and ie are input iterators with an unsigned integer value_type of at least 32 bits;
d)rb and re are mutable random access iterators with an unsigned integer value_type of at least 32 bits;
e)ob is an output iterator; and
f)il is a value of initializer_list<T>.
Table
102— Seed sequence requirements
A uniform random bit generator g 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. [ Note: The degree to which g's results approximate the ideal is often determined statistically. — end note ]
A class G satisfies the requirements of a uniform random bit generator if the expressions shown in Table 103 are valid and have the indicated semantics, and if G also satisfies all other requirements of this section [rand.req.urng]. In that Table and throughout this section:
Table
103— Uniform random bit generator requirements
The following relation shall hold: G::min() < G::max().
29.6.1.4 Random number engine requirements [rand.req.eng]A random number engine (commonly shortened to engine) e of type E is a uniform random bit generator that additionally meets the requirements (e.g., for seeding and for input/output) specified in this section.
At any given time, e has a state ei for some integer i≥0. Upon construction, e has an initial state e0. An engine's state may be established via a constructor, a seed function, assignment, or a suitable operator>>.
E's specification shall define:
a)the size of E's state in multiples of the size of result_type, given as an integral constant expression;
b)the transition algorithm TA by which e's state ei is advanced to its successor state ei+1; and
c)the generation algorithm GA by which an engine's state is mapped to a value of type result_type.
A class E that satisfies the requirements of a uniform random bit generator also satisfies the requirements of a random number engine if the expressions shown in Table 104 are valid and have the indicated semantics, and if E also satisfies all other requirements of this section [rand.req.eng]. In that Table and throughout this section:
a)T is the type named by E's associated result_type;
b)e is a value of E, v is an lvalue of E, x and y are (possibly const) values of E;
c)s is a value of T;
d)q is an lvalue satisfying the requirements of a seed sequence;
e)z is a value of type unsigned long long;
f)os is an lvalue of the type of some class template specialization basic_ostream<charT, traits>; and
g)is is an lvalue of the type of some class template specialization basic_istream<charT, traits>;
where charT and traits are constrained according to Clause [strings] and Clause [input.output].
Table
104— Random number engine requirements
A random number engine adaptor (commonly shortened to adaptor) a of type A is a random number engine that takes values produced by some other random number engine, and applies an algorithm to those values in order to deliver a sequence of values with different randomness properties. An engine b of type B adapted in this way is termed a base engine in this context. The expression a.base() shall be valid and shall return a const reference to a's base engine.
The requirements of a random number engine type shall be interpreted as follows with respect to a random number engine adaptor type.
A::A();
Effects: The base engine is initialized as if by its default constructor.
bool operator==(const A& a1, const A& a2);
Returns: true if a1's base engine is equal to a2's base engine. Otherwise returns false.
A::A(result_type s);
Effects: The base engine is initialized with s.
template<class Sseq> A::A(Sseq& q);
Effects: The base engine is initialized with q.
void seed();
Effects: With b as the base engine, invokes b.seed().
void seed(result_type s);
Effects: With b as the base engine, invokes b.seed(s).
template<class Sseq> void seed(Sseq& q);
Effects: With b as the base engine, invokes b.seed(q).
A shall also satisfy the following additional requirements:
a)The complexity of each function shall not exceed the complexity of the corresponding function applied to the base engine.
b)The state of A shall include the state of its base engine. The size of A's state shall be no less than the size of the base engine.
c)Copying A's state (e.g., during copy construction or copy assignment) shall include copying the state of the base engine of A.
d)The textual representation of A shall include the textual representation of its base engine.
A random number distribution (commonly shortened to distribution) d of type D is a function object returning values that are distributed according to an associated mathematical probability density function p(z) or according to an associated discrete probability function P(zi). A distribution's specification identifies its associated probability function p(z) or P(zi).
An associated probability function is typically expressed using certain externally-supplied quantities known as the parameters of the distribution. Such distribution parameters are identified in this context by writing, for example, p(z|a,b) or P(zi|a,b), to name specific parameters, or by writing, for example, p(z |{p}) or P(zi|{p}), to denote a distribution's parameters p taken as a whole.
A class D satisfies the requirements of a random number distribution if the expressions shown in Table 105 are valid and have the indicated semantics, and if D and its associated types also satisfy all other requirements of this section [rand.req.dist]. In that Table and throughout this section,
a)T is the type named by D's associated result_type;
b)P is the type named by D's associated param_type;
c)d is a value of D, and x and y are (possibly const) values of D;
d)glb and lub are values of T respectively corresponding to the greatest lower bound and the least upper bound on the values potentially returned by d's operator(), as determined by the current values of d's parameters;
e)p is a (possibly const) value of P;
f)g, g1, and g2 are lvalues of a type satisfying the requirements of a uniform random bit generator;
g)os is an lvalue of the type of some class template specialization basic_ostream<charT, traits>; and
h)is is an lvalue of the type of some class template specialization basic_istream<charT, traits>;
where charT and traits are constrained according to Clauses [strings] and [input.output].
Table
105— Random number distribution requirements
The sequence of numbers produced by repeated invocations of d(g) shall be independent of any invocation of os << d or of any const member function of D between any of the invocations d(g).
If a textual representation is written using os << x and that representation is restored into the same or a different object y of the same type using is >> y, repeated invocations of y(g) shall produce the same sequence of numbers as would repeated invocations of x(g).
It is unspecified whether D::param_type is declared as a (nested) class or via a typedef. In this subclause [rand], declarations of D::param_type are in the form of typedefs for convenience of exposition only.
For each of the constructors of D taking arguments corresponding to parameters of the distribution, P shall have a corresponding constructor subject to the same requirements and taking arguments identical in number, type, and default values. Moreover, for each of the member functions of D that return values corresponding to parameters of the distribution, P shall have a corresponding member function with the identical name, type, and semantics.
P shall have a declaration of the form
using distribution_type = D;
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