// Copyright 2021 The Wuffs Authors.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
//    https://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.

pri func hasher.up_x86_sse42!(x: slice base.u8),
	choose cpu_arch >= x86_sse42,
{
	// These variables are the same as the non-SIMD version.
	var s1        : base.u32
	var s2        : base.u32
	var remaining : slice base.u8
	var p         : slice base.u8

	// The remaining variables are specific to the SIMD version.

	var util          : base.x86_sse42_utility
	var zeroes        : base.x86_m128i
	var ones          : base.x86_m128i
	var weights__left : base.x86_m128i
	var weights_right : base.x86_m128i
	var p__left       : base.x86_m128i
	var p_right       : base.x86_m128i
	var v1            : base.x86_m128i
	var v2            : base.x86_m128i
	var v2j           : base.x86_m128i
	var v2k           : base.x86_m128i

	var num_iterate_bytes : base.u32
	var tail_index        : base.u64

	// zeroes and ones are uniform u16×8 vectors.
	zeroes = util.make_m128i_repeat_u16(a: 0)
	ones = util.make_m128i_repeat_u16(a: 1)

	// weights__left and weights_right form the sequence 32, 31, 30, ..., 1.
	weights__left = util.make_m128i_multiple_u8(
		a00: 0x20, a01: 0x1F, a02: 0x1E, a03: 0x1D,
		a04: 0x1C, a05: 0x1B, a06: 0x1A, a07: 0x19,
		a08: 0x18, a09: 0x17, a10: 0x16, a11: 0x15,
		a12: 0x14, a13: 0x13, a14: 0x12, a15: 0x11)
	weights_right = util.make_m128i_multiple_u8(
		a00: 0x10, a01: 0x0F, a02: 0x0E, a03: 0x0D,
		a04: 0x0C, a05: 0x0B, a06: 0x0A, a07: 0x09,
		a08: 0x08, a09: 0x07, a10: 0x06, a11: 0x05,
		a12: 0x04, a13: 0x03, a14: 0x02, a15: 0x01)

	// Decompose this.state.
	s1 = this.state.low_bits(n: 16)
	s2 = this.state.high_bits(n: 16)

	// Just like the non-SIMD version, loop over args.x up to almost-5552 bytes
	// at a time. The slightly smaller 5536 is the largest multiple of 32 less
	// than non-SIMD's 5552.
	while args.x.length() > 0 {
		remaining = args.x[.. 0]
		if args.x.length() > 5536 {
			remaining = args.x[5536 ..]
			args.x = args.x[.. 5536]
		}

		// The s1 state is the sum of the input bytes and the s2 state is the
		// sum of the s1 state at each 1-byte step. Inside the iterate loop
		// below, but starting fresh at each outer while loop iteration, s1
		// consists of three parts (called s1i, s1j and s1k):
		//  - s1i: the initial value, before any 32-byte iterations.
		//  - s1j: the total contribution from previous 32-byte iterations.
		//  - s1k: the contribution due to the current 32-byte iteration.
		//
		// The upcoming iterate loop (at 32 bytes per iteration) encompasses
		// num_iterate_bytes 1-byte steps. We hoist the total s1i contribution,
		// (s1i * num_iterate_bytes) out here.
		num_iterate_bytes = (args.x.length() & 0xFFFF_FFE0) as base.u32
		s2 ~mod+= (s1 ~mod* num_iterate_bytes)

		// Zero-initialize some u32×4 vectors associated with the two state
		// variables s1 and s2. The iterate loop accumulates four parallel u32
		// sums in each vector. A post-iterate step merges the four u32 sums
		// into a single u32 sum.
		v1 = util.make_m128i_zeroes()
		v2j = util.make_m128i_zeroes()
		v2k = util.make_m128i_zeroes()

		// The inner loop.
		iterate (p = args.x)(length: 32, advance: 32, unroll: 1) {
			// Split the 32-byte p into left and right halves. SSE4.2 works
			// with 16-byte registers.
			//
			// Let p__left = [u8×16: p00, p01, p02, ..., p15]
			// Let p_right = [u8×16: p16, p17, p18, ..., p31]
			p__left = util.make_m128i_slice128(a: p[.. 16])
			p_right = util.make_m128i_slice128(a: p[16 .. 32])

			// For v2j, we need to calculate the sums of the s1j terms for each
			// of p's 32 elements. This is simply 32 times the same number,
			// that number being the sum of v1's four u32 accumulators. We add
			// v1 now and multiply by 32 later, outside the inner loop.
			v2j = v2j._mm_add_epi32(b: v1)

			// For v1, we need to add the elements of p. Computing the sum of
			// absolute differences (_mm_sad_epu8) with zero just sums the
			// elements. p__left._mm_sad_epu8(b: zeroes) equals
			//   [u64×2: p00 + p01 + ... + p07, p08 + p09 + ... + p15]
			// This is equivalent (little-endian) to:
			//   [u32×4: p00 + p01 + ... + p07, 0, p08 + p09 + ... + p15, 0]
			// We accumulate those "sum of p__left elements" in v1, and ditto
			// for the p_right elements.
			v1 = v1._mm_add_epi32(b: p__left._mm_sad_epu8(b: zeroes))
			v1 = v1._mm_add_epi32(b: p_right._mm_sad_epu8(b: zeroes))

			// For v2k, we need to calculate a weighted sum: ((32 * p00) + (31
			// * p01) + (30 * p02) + ... + (1 * p31)), which splits naturally
			// into weighted sums of the left half and of the right half.
			//
			// The _mm_maddubs_epi16 call (vertically multiply u8 columns and
			// then horizontally sum u16 pairs) with the left half produces:
			//   [u16×8: ((32*p00)+(31*p01)),
			//           ((30*p02)+(29*p03)),
			//           ...
			//           ((18*p14)+(17*p15))]
			//
			// The ones._mm_madd_epi16(b: etc) call is likewise a multiply-add
			// (note that it's "madd" not "add"). Multiplying by 1 is a no-op,
			// so this sums u16 pairs to produce u32 values:
			//   [u32×4: ((32*p00)+(31*p01)+(30*p02)+(29*p03)),
			//           ((28*p04)+(27*p05)+(26*p06)+(25*p07)),
			//           ...
			//           ((20*p12)+(19*p13)+(18*p14)+(17*p15))]
			//
			// Ditto again for the p_right elements.
			v2k = v2k._mm_add_epi32(b: ones._mm_madd_epi16(b:
				p__left._mm_maddubs_epi16(b: weights__left)))
			v2k = v2k._mm_add_epi32(b: ones._mm_madd_epi16(b:
				p_right._mm_maddubs_epi16(b: weights_right)))
		}

		// Merge the four parallel u32 sums (v1) into the single u32 sum (s1).
		// Starting with a u32×4 vector [x0, x1, x2, x3]:
		//  - shuffling with 0b1011_0001 gives [x1, x0, x3, x2].
		//  - adding gives [x0+x1, x0+x1, x2+x3, x2+x3].
		//  - shuffling with 0b0100_1110 gives [x2+x3, x2+x3, x0+x1, x0+x1].
		//  - adding gives [x0+x1+x2+x3, ditto, ditto, ditto].
		// The truncate_u32 call extracts the first u32: x0+x1+x2+x3.
		v1 = v1._mm_add_epi32(b: v1._mm_shuffle_epi32(imm8: 0b1011_0001))
		v1 = v1._mm_add_epi32(b: v1._mm_shuffle_epi32(imm8: 0b0100_1110))
		s1 ~mod+= v1.truncate_u32()

		// Combine v2j and v2k. The slli (shift logical left immediate) by 5
		// multiplies v2j's four u32 elements each by 32, alluded to earlier.
		v2 = v2k._mm_add_epi32(b: v2j._mm_slli_epi32(imm8: 5))

		// Similarly merge v2 (a u32×4 vector) into s2 (a u32 scalar).
		v2 = v2._mm_add_epi32(b: v2._mm_shuffle_epi32(imm8: 0b1011_0001))
		v2 = v2._mm_add_epi32(b: v2._mm_shuffle_epi32(imm8: 0b0100_1110))
		s2 ~mod+= v2.truncate_u32()

		// Handle the tail of args.x that wasn't a complete 32-byte chunk.
		tail_index = args.x.length() & 0xFFFF_FFFF_FFFF_FFE0  // And-not 32.
		if tail_index < args.x.length() {
			iterate (p = args.x[tail_index ..])(length: 1, advance: 1, unroll: 1) {
				s1 ~mod+= p[0] as base.u32
				s2 ~mod+= s1
			}
		}

		// The rest of this function is the same as the non-SIMD version.
		s1 %= 65521
		s2 %= 65521
		args.x = remaining
	} endwhile
	this.state = ((s2 & 0xFFFF) << 16) | (s1 & 0xFFFF)
}