/*
 * Copyright (c) 2020, the SerenityOS developers.
 * All rights reserved.
 *
 * Redistribution and use in source and binary forms, with or without
 * modification, are permitted provided that the following conditions are met:
 *
 * 1. Redistributions of source code must retain the above copyright notice, this
 *    list of conditions and the following disclaimer.
 *
 * 2. Redistributions in binary form must reproduce the above copyright notice,
 *    this list of conditions and the following disclaimer in the documentation
 *    and/or other materials provided with the distribution.
 *
 * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
 * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
 * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
 * DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
 * FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
 * DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
 * SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
 * CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
 * OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
 * OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
 */

#pragma once

#include <AK/Types.h>

namespace AK::SIMD {

using i8x2 = i8 __attribute__((vector_size(2)));
using i8x4 = i8 __attribute__((vector_size(4)));
using i8x8 = i8 __attribute__((vector_size(8)));
using i8x16 = i8 __attribute__((vector_size(16)));
using i8x32 = i8 __attribute__((vector_size(32)));

using i16x2 = i16 __attribute__((vector_size(4)));
using i16x4 = i16 __attribute__((vector_size(8)));
using i16x8 = i16 __attribute__((vector_size(16)));
using i16x16 = i16 __attribute__((vector_size(32)));

using i32x2 = i32 __attribute__((vector_size(8)));
using i32x4 = i32 __attribute__((vector_size(16)));
using i32x8 = i32 __attribute__((vector_size(32)));

using i64x2 = i64 __attribute__((vector_size(16)));
using i64x4 = i64 __attribute__((vector_size(32)));

using u8x2 = u8 __attribute__((vector_size(2)));
using u8x4 = u8 __attribute__((vector_size(4)));
using u8x8 = u8 __attribute__((vector_size(8)));
using u8x16 = u8 __attribute__((vector_size(16)));
using u8x32 = u8 __attribute__((vector_size(32)));

using u16x2 = u16 __attribute__((vector_size(4)));
using u16x4 = u16 __attribute__((vector_size(8)));
using u16x8 = u16 __attribute__((vector_size(16)));
using u16x16 = u16 __attribute__((vector_size(32)));

using u32x2 = u32 __attribute__((vector_size(8)));
using u32x4 = u32 __attribute__((vector_size(16)));
using u32x8 = u32 __attribute__((vector_size(32)));

using u64x2 = u64 __attribute__((vector_size(16)));
using u64x4 = u64 __attribute__((vector_size(32)));

using f32x2 = float __attribute__((vector_size(8)));
using f32x4 = float __attribute__((vector_size(16)));
using f32x8 = float __attribute__((vector_size(32)));

using f64x2 = double __attribute__((vector_size(16)));
using f64x4 = double __attribute__((vector_size(32)));

}