# Trait std::simd::prelude::SimdInt

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    pub trait SimdInt: Copy + Sealed {
        type Mask;
        type Scalar;
        type Cast<T: SimdElement>;

    Show 16 methods    // Required methods
        fn cast<T>(self) -> Self::Cast<T>
           where T: SimdCast;
        fn saturating_add(self, second: Self) -> Self;
        fn saturating_sub(self, second: Self) -> Self;
        fn abs(self) -> Self;
        fn saturating_abs(self) -> Self;
        fn saturating_neg(self) -> Self;
        fn is_positive(self) -> Self::Mask;
        fn is_negative(self) -> Self::Mask;
        fn signum(self) -> Self;
        fn reduce_sum(self) -> Self::Scalar;
        fn reduce_product(self) -> Self::Scalar;
        fn reduce_max(self) -> Self::Scalar;
        fn reduce_min(self) -> Self::Scalar;
        fn reduce_and(self) -> Self::Scalar;
        fn reduce_or(self) -> Self::Scalar;
        fn reduce_xor(self) -> Self::Scalar;
    }

🔬This is a nightly-only experimental API. (`portable_simd` #86656)
Expand description

Operations on SIMD vectors of signed integers.

## Required Associated Types§

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#### type Mask

🔬This is a nightly-only experimental API. (`portable_simd` #86656)

Mask type used for manipulating this SIMD vector type.

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#### type Scalar

🔬This is a nightly-only experimental API. (`portable_simd` #86656)

Scalar type contained by this SIMD vector type.

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#### type Cast<T: SimdElement>

🔬This is a nightly-only experimental API. (`portable_simd` #86656)

A SIMD vector with a different element type.

## Required Methods§

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#### fn cast<T>(self) -> Self::Cast<T>where T: SimdCast,

🔬This is a nightly-only experimental API. (`portable_simd` #86656)

Performs elementwise conversion of this vector’s elements to another SIMD-valid type.

This follows the semantics of Rust’s `as` conversion for casting integers (wrapping to other integer types, and saturating to float types).

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#### fn saturating_add(self, second: Self) -> Self

🔬This is a nightly-only experimental API. (`portable_simd` #86656)

Lanewise saturating add.

##### Examples

    use core::i32::{MIN, MAX};
    let x = Simd::from_array([MIN, 0, 1, MAX]);
    let max = Simd::splat(MAX);
    let unsat = x + max;
    let sat = x.saturating_add(max);
    assert_eq!(unsat, Simd::from_array([-1, MAX, MIN, -2]));
    assert_eq!(sat, Simd::from_array([-1, MAX, MAX, MAX]));

Run
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#### fn saturating_sub(self, second: Self) -> Self

🔬This is a nightly-only experimental API. (`portable_simd` #86656)

Lanewise saturating subtract.

##### Examples

    use core::i32::{MIN, MAX};
    let x = Simd::from_array([MIN, -2, -1, MAX]);
    let max = Simd::splat(MAX);
    let unsat = x - max;
    let sat = x.saturating_sub(max);
    assert_eq!(unsat, Simd::from_array([1, MAX, MIN, 0]));
    assert_eq!(sat, Simd::from_array([MIN, MIN, MIN, 0]));

Run
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#### fn abs(self) -> Self

🔬This is a nightly-only experimental API. (`portable_simd` #86656)

Lanewise absolute value, implemented in Rust. Every lane becomes its absolute value.

##### Examples

    use core::i32::{MIN, MAX};
    let xs = Simd::from_array([MIN, MIN +1, -5, 0]);
    assert_eq!(xs.abs(), Simd::from_array([MIN, MAX, 5, 0]));

Run
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#### fn saturating_abs(self) -> Self

🔬This is a nightly-only experimental API. (`portable_simd` #86656)

Lanewise saturating absolute value, implemented in Rust. As abs(), except the MIN value becomes MAX instead of itself.

##### Examples

    use core::i32::{MIN, MAX};
    let xs = Simd::from_array([MIN, -2, 0, 3]);
    let unsat = xs.abs();
    let sat = xs.saturating_abs();
    assert_eq!(unsat, Simd::from_array([MIN, 2, 0, 3]));
    assert_eq!(sat, Simd::from_array([MAX, 2, 0, 3]));

Run
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#### fn saturating_neg(self) -> Self

🔬This is a nightly-only experimental API. (`portable_simd` #86656)

Lanewise saturating negation, implemented in Rust. As neg(), except the MIN value becomes MAX instead of itself.

##### Examples

    use core::i32::{MIN, MAX};
    let x = Simd::from_array([MIN, -2, 3, MAX]);
    let unsat = -x;
    let sat = x.saturating_neg();
    assert_eq!(unsat, Simd::from_array([MIN, 2, -3, MIN + 1]));
    assert_eq!(sat, Simd::from_array([MAX, 2, -3, MIN + 1]));

Run
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#### fn is_positive(self) -> Self::Mask

🔬This is a nightly-only experimental API. (`portable_simd` #86656)

Returns true for each positive lane and false if it is zero or negative.

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#### fn is_negative(self) -> Self::Mask

🔬This is a nightly-only experimental API. (`portable_simd` #86656)

Returns true for each negative lane and false if it is zero or positive.

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#### fn signum(self) -> Self

🔬This is a nightly-only experimental API. (`portable_simd` #86656)

Returns numbers representing the sign of each lane.

- `0` if the number is zero
- `1` if the number is positive
- `-1` if the number is negative

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#### fn reduce_sum(self) -> Self::Scalar

🔬This is a nightly-only experimental API. (`portable_simd` #86656)

Returns the sum of the lanes of the vector, with wrapping addition.

##### Examples

    let v = i32x4::from_array([1, 2, 3, 4]);
    assert_eq!(v.reduce_sum(), 10);

    // SIMD integer addition is always wrapping
    let v = i32x4::from_array([i32::MAX, 1, 0, 0]);
    assert_eq!(v.reduce_sum(), i32::MIN);

Run
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#### fn reduce_product(self) -> Self::Scalar

🔬This is a nightly-only experimental API. (`portable_simd` #86656)

Returns the product of the lanes of the vector, with wrapping multiplication.

##### Examples

    let v = i32x4::from_array([1, 2, 3, 4]);
    assert_eq!(v.reduce_product(), 24);

    // SIMD integer multiplication is always wrapping
    let v = i32x4::from_array([i32::MAX, 2, 1, 1]);
    assert!(v.reduce_product() < i32::MAX);

Run
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#### fn reduce_max(self) -> Self::Scalar

🔬This is a nightly-only experimental API. (`portable_simd` #86656)

Returns the maximum lane in the vector.

##### Examples

    let v = i32x4::from_array([1, 2, 3, 4]);
    assert_eq!(v.reduce_max(), 4);

Run
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#### fn reduce_min(self) -> Self::Scalar

🔬This is a nightly-only experimental API. (`portable_simd` #86656)

Returns the minimum lane in the vector.

##### Examples

    let v = i32x4::from_array([1, 2, 3, 4]);
    assert_eq!(v.reduce_min(), 1);

Run
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#### fn reduce_and(self) -> Self::Scalar

🔬This is a nightly-only experimental API. (`portable_simd` #86656)

Returns the cumulative bitwise “and” across the lanes of the vector.

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#### fn reduce_or(self) -> Self::Scalar

🔬This is a nightly-only experimental API. (`portable_simd` #86656)

Returns the cumulative bitwise “or” across the lanes of the vector.

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#### fn reduce_xor(self) -> Self::Scalar

🔬This is a nightly-only experimental API. (`portable_simd` #86656)

Returns the cumulative bitwise “xor” across the lanes of the vector.

## Object Safety§

This trait is not object safe.

## Implementors§

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### impl<const LANES: usize> SimdInt for Simd<i8, LANES>where LaneCount<LANES>: SupportedLaneCount,

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#### type Mask = Mask<<i8 as SimdElement>::Mask, LANES>

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#### type Scalar = i8

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#### type Cast<T: SimdElement> = Simd<T, LANES>

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### impl<const LANES: usize> SimdInt for Simd<i16, LANES>where LaneCount<LANES>: SupportedLaneCount,

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#### type Mask = Mask<<i16 as SimdElement>::Mask, LANES>

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#### type Scalar = i16

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#### type Cast<T: SimdElement> = Simd<T, LANES>

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### impl<const LANES: usize> SimdInt for Simd<i32, LANES>where LaneCount<LANES>: SupportedLaneCount,

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#### type Mask = Mask<<i32 as SimdElement>::Mask, LANES>

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#### type Scalar = i32

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#### type Cast<T: SimdElement> = Simd<T, LANES>

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### impl<const LANES: usize> SimdInt for Simd<i64, LANES>where LaneCount<LANES>: SupportedLaneCount,

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#### type Mask = Mask<<i64 as SimdElement>::Mask, LANES>

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#### type Scalar = i64

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#### type Cast<T: SimdElement> = Simd<T, LANES>

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### impl<const LANES: usize> SimdInt for Simd<isize, LANES>where LaneCount<LANES>: SupportedLaneCount,

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#### type Mask = Mask<<isize as SimdElement>::Mask, LANES>

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#### type Scalar = isize

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#### type Cast<T: SimdElement> = Simd<T, LANES>