// Copyright 2021 The Tint 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
//
//     http://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.

// Package lut provides a look up table, which compresses indexed data
package lut

import (
	"sort"

	"dawn.googlesource.com/dawn/tools/src/list"
)

// LUT is a look up table.
// The table holds a number of items that are stored in a linear list.
type LUT interface {
	// Add adds a sequence of items to the table.
	// items can be a single element, a slice of element, or a List of element.
	// Returns a pointer to the offset of the first item in the table's list.
	// The sequence of items stored at [offset, offset+N), where N is the
	// number of items added will remain equal, even after calling Compact().
	Add(items interface{}) *int
	// Compact reorders the table items so that the table storage is compacted
	// by shuffling data around and de-duplicating sequences of common data.
	// Each originally added sequence is preserved in the resulting table, with
	// the same contiguous ordering, but with a potentially different offset.
	// Heuristics are used to shorten the table length, by exploiting common
	// subsequences, and removing duplicate sequences.
	// Note that shortest common superstring is NP-hard, so heuristics are used.
	// Compact updates pointers returned by Add().
	Compact()
}

// New returns a new look up table
func New(storage list.List) LUT {
	return &lut{storage: storage}
}

// A sequence represents a span of entries in the table
type sequence struct {
	offset *int // Pointer to the start index of the sequence
	count  int  // Length of the sequence
}

// lut implements LUT
type lut struct {
	storage   list.List  // The List that backs this LUT
	sequences []sequence // The entries in the LUT
}

func (t *lut) Add(items interface{}) *int {
	offset := t.storage.Count()
	t.storage.Append(items)
	count := t.storage.Count() - offset
	offsetPtr := &offset
	t.sequences = append(t.sequences, sequence{offsetPtr, count})
	return offsetPtr
}

func (t lut) Compact() {
	// Generate int32 identifiers for each unique item in the table.
	// We use these to compare items instead of comparing the real data as this
	// function is comparison-heavy, and integer compares are cheap.
	srcIDs := t.itemIDs()
	dstIDs := make([]int32, len(srcIDs))

	// Make a copy the data held in the table, use the copy as the source, and
	// t.storage as the destination.
	srcData := list.Copy(t.storage)
	dstData := t.storage

	// Sort all the sequences by length, with the largest first.
	// This helps 'seed' the compacted form with the largest items first.
	// This can improve the compaction as small sequences can pack into larger,
	// placed items.
	sort.SliceStable(t.sequences, func(i, j int) bool {
		return t.sequences[i].count > t.sequences[j].count
	})

	// unplaced is the list of sequences that have not yet been placed.
	// All sequences are initially unplaced.
	unplaced := make([]sequence, len(t.sequences))
	copy(unplaced, t.sequences)

	// placed is the list of sequences that have been placed.
	// Nothing is initially placed.
	placed := make([]sequence, 0, len(t.sequences))

	// remove removes the sequence in unplaced with the index i.
	remove := func(i int) {
		placed = append(placed, unplaced[i])
		if i > 0 {
			if i < len(unplaced)-1 {
				copy(unplaced[i:], unplaced[i+1:])
			}
			unplaced = unplaced[:len(unplaced)-1]
		} else {
			unplaced = unplaced[1:]
		}
	}

	// cp copies data from [srcOffset:srcOffset+count] to [dstOffset:dstOffset+count].
	cp := func(dstOffset, srcOffset, count int) {
		dstData.CopyFrom(srcData, dstOffset, srcOffset, count)
		copy(
			dstIDs[dstOffset:dstOffset+count],
			srcIDs[srcOffset:srcOffset+count],
		)
	}

	// match describes a sequence that can be placed.
	type match struct {
		dst int      // destination offset
		src sequence // source sequence
		len int      // number of items that matched
		idx int      // sequence index
	}

	// number of items that have been placed.
	newSize := 0

	// While there's sequences to place...
	for len(unplaced) > 0 {
		// Place the next largest, unplaced sequence at the end of the new list
		cp(newSize, *unplaced[0].offset, unplaced[0].count)
		*unplaced[0].offset = newSize
		newSize += unplaced[0].count
		remove(0)

		for {
			// Look for the sequence with the longest match against the
			// currently placed data. Any mismatches with currently placed data
			// will nullify the match. The head or tail of this sequence may
			// extend the currently placed data.
			best := match{}

			// For each unplaced sequence...
			for i := 0; i < len(unplaced); i++ {
				seq := unplaced[i]

				if best.len >= seq.count {
					// The best match is already at least as long as this
					// sequence and sequences are sorted by size, so best cannot
					// be beaten. Stop searching.
					break
				}

				// Perform a full sweep from left to right, scoring the match...
				for shift := -seq.count + 1; shift < newSize; shift++ {
					dstS := max(shift, 0)
					dstE := min(shift+seq.count, newSize)
					count := dstE - dstS
					srcS := *seq.offset - min(shift, 0)
					srcE := srcS + count

					if best.len < count {
						if equal(srcIDs[srcS:srcE], dstIDs[dstS:dstE]) {
							best = match{shift, seq, count, i}
						}
					}
				}
			}

			if best.src.offset == nil {
				// Nothing matched. Not even one element.
				// Resort to placing the next largest sequence at the end.
				break
			}

			if best.dst < 0 {
				// Best match wants to place the sequence to the left of the
				// current output. We have to shuffle everything...
				n := -best.dst
				dstData.Copy(n, 0, newSize)
				copy(dstIDs[n:n+newSize], dstIDs)
				newSize += n
				best.dst = 0
				for _, p := range placed {
					*p.offset += n
				}
			}

			// Place the best matching sequence.
			cp(best.dst, *best.src.offset, best.src.count)
			newSize = max(newSize, best.dst+best.src.count)
			*best.src.offset = best.dst
			remove(best.idx)
		}
	}

	// Shrink the output buffer to the new size.
	dstData.Resize(newSize)

	// All done.
}

// Generate a set of identifiers for all the unique items in storage
func (t lut) itemIDs() []int32 {
	storageSize := t.storage.Count()
	keys := make([]int32, storageSize)
	dataToKey := map[interface{}]int32{}
	for i := 0; i < storageSize; i++ {
		data := t.storage.Get(i)
		key, found := dataToKey[data]
		if !found {
			key = int32(len(dataToKey))
			dataToKey[data] = key
		}
		keys[i] = key
	}
	return keys
}

func max(a, b int) int {
	if a < b {
		return b
	}
	return a
}

func min(a, b int) int {
	if a > b {
		return b
	}
	return a
}

func equal(a, b []int32) bool {
	for i, v := range a {
		if b[i] != v {
			return false
		}
	}
	return true
}