std::isnormal - cppreference.com (original) (raw)
| Defined in header | ||
|---|---|---|
| (1) | ||
| bool isnormal( float num ); bool isnormal( double num ); bool isnormal( long double num ); | (since C++11) (until C++23) | |
| constexpr bool isnormal( /*floating-point-type*/ num ); | (since C++23) | |
| SIMD overload (since C++26) | ||
| Defined in header | ||
| template< /*math-floating-point*/ V > constexpr typename /*deduced-simd-t*/<V>::mask_type isnormal ( const V& v_num ); | (S) | (since C++26) |
| Additional overloads | ||
| Defined in header | ||
| template< class Integer > bool isnormal( Integer num ); | (A) | (since C++11) (constexpr since C++23) |
- Determines if the given floating point number num is normal, i.e. is neither zero, subnormal, infinite, nor NaN. The library provides overloads for all cv-unqualified floating-point types as the type of the parameter num.(since C++23)
A) Additional overloads are provided for all integer types, which are treated as double.
[edit] Parameters
| num | - | floating-point or integer value |
|---|---|---|
| v_num | - | a data-parallel object of std::basic_simd specialization where its element type is a floating-point type |
[edit] Return value
- true if num is normal, false otherwise.
S) A data-parallel mask object where the ith element equals true if v_num[i] is normal or false otherwise for all i in the range [0, v_num.size()).
[edit] Notes
The additional overloads are not required to be provided exactly as (A). They only need to be sufficient to ensure that for their argument num of integer type, std::isnormal(num) has the same effect as std::isnormal(static_cast<double>(num)).
[edit] Example
#include #include #include int main() { std::cout << std::boolalpha << "isnormal(NaN) = " << std::isnormal(NAN) << '\n' << "isnormal(Inf) = " << std::isnormal(INFINITY) << '\n' << "isnormal(0.0) = " << std::isnormal(0.0) << '\n' << "isnormal(DBL_MIN/2.0) = " << std::isnormal(DBL_MIN / 2.0) << '\n' << "isnormal(1.0) = " << std::isnormal(1.0) << '\n'; }
Output:
isnormal(NaN) = false isnormal(Inf) = false isnormal(0.0) = false isnormal(DBL_MIN/2.0) = false isnormal(1.0) = true