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/* Copyright (c) 2001-2019, The HSQL Development Group
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package org.hsqldb.lib;

import java.util.NoSuchElementException;

/**
 * Maintains an ordered  long->long lookup table, consisting of two
 * columns, one for keys, the other for values. Equal keys are allowed.

* * The table is sorted on key column.

* * findXXX() methods return the array index into the list * pair containing a matching key or value, or or -1 if not found.

* * Based on org.hsqldb.lib.DoubleIntIndex * * @author Fred Toussi (fredt@users dot sourceforge.net) * @version 2.5.0 * @since 1.8.0 */ public final class DoubleLongIndex implements LongLookup { private int count = 0; private int capacity; private boolean sorted = true; private long[] keys; private long[] values; // private long targetSearchValue; public DoubleLongIndex(int capacity) { this.capacity = capacity; keys = new long[capacity]; values = new long[capacity]; } public long getLongKey(int i) { if (i < 0 || i >= count) { throw new IndexOutOfBoundsException(); } return keys[i]; } public long getLongValue(int i) { if (i < 0 || i >= count) { throw new IndexOutOfBoundsException(); } return values[i]; } /** * Modifies an existing pair. * @param i the index * @param value the value */ public void setLongValue(int i, long value) { if (i < 0 || i >= count) { throw new IndexOutOfBoundsException(); } values[i] = value; } public int size() { return count; } public boolean addUnsorted(long key, long value) { if (count == capacity) { doubleCapacity(); } if (sorted && count != 0) { if (key < keys[count - 1]) { sorted = false; } } keys[count] = key; values[count] = value; count++; return true; } public int add(long key, long value) { if (count == capacity) { doubleCapacity(); } if (!sorted) { fastQuickSort(); } targetSearchValue = key; int i = binarySlotSearch(true); if (count != i) { moveRows(i, i + 1, count - i); } keys[i] = key; values[i] = value; count++; return i; } public long lookup(long key) throws NoSuchElementException { int i = findFirstEqualKeyIndex(key); if (i == -1) { throw new NoSuchElementException(); } return getLongValue(i); } public long lookup(long key, long def) { int i = findFirstEqualKeyIndex(key); if (i == -1) { return def; } return getLongValue(i); } public void clear() { ArrayUtil.clearArray(ArrayUtil.CLASS_CODE_LONG, keys, 0, count); ArrayUtil.clearArray(ArrayUtil.CLASS_CODE_LONG, values, 0, count); count = 0; sorted = true; } /** * @param value the value * @return the index */ public int findFirstGreaterEqualKeyIndex(long value) { int index = findFirstGreaterEqualSlotIndex(value); return index == count ? -1 : index; } /** * @param value the value * @return the index */ public int findFirstEqualKeyIndex(long value) { if (!sorted) { fastQuickSort(); } targetSearchValue = value; return binaryFirstSearch(); } /** * This method is similar to findFirstGreaterEqualKeyIndex(int) but * returns the index of the empty row past the end of the array if * the search value is larger than all the values / keys in the searched * column. * @param value the value * @return the index */ public int findFirstGreaterEqualSlotIndex(long value) { if (!sorted) { fastQuickSort(); } targetSearchValue = value; return binarySlotSearch(false); } /** * Returns the index of the lowest element == the given search target, * or -1 * @return index or -1 if not found */ private int binaryFirstSearch() { int low = 0; int high = count; int mid = 0; int compare = 0; int found = count; while (low < high) { mid = (low + high) >>> 1; compare = compare(mid); if (compare < 0) { high = mid; } else if (compare > 0) { low = mid + 1; } else { high = mid; found = mid; } } return found == count ? -1 : found; } /** * Returns the index of the lowest element >= the given search target, * or count * @return the index */ private int binarySlotSearch(boolean fullCompare) { int low = 0; int high = count; int mid = 0; int compare = 0; while (low < high) { mid = (low + high) >>> 1; compare = compare(mid); if (compare <= 0) { high = mid; } else { low = mid + 1; } } return low; } public void sort() { if (count <= 1024 * 16) { fastQuickSortRecursive(); } else { fastQuickSort(); } } /** * fast quicksort using a stack on the heap to reduce stack use */ private void fastQuickSort() { DoubleIntIndex indices = new DoubleIntIndex(32768); int threshold = 16; indices.push(0, count - 1); while (indices.size() > 0) { int start = indices.peekKey(); int end = indices.peekValue(); indices.pop(); if (end - start >= threshold) { int pivot = partition(start, end); indices.push(start, pivot - 1); indices.push(pivot + 1, end); } } insertionSort(0, count - 1); sorted = true; } private int partition(int start, int end) { int pivot = (start + end) >>> 1; // pivot is median of three values if (keys[pivot] < keys[(start + pivot) >>> 1]) { swap(pivot, (start + pivot) >>> 1); } if (keys[(end + pivot) >>> 1] < keys[(start + pivot) >>> 1]) { swap((end + pivot) >>> 1, (start + pivot) >>> 1); } if (keys[(end + pivot) >>> 1] < keys[pivot]) { swap((end + pivot) >>> 1, pivot); } long pivotValue = keys[pivot]; int i = start - 1; int j = end; swap(pivot, end); for (;;) { while (keys[++i] < pivotValue) {} while (pivotValue < keys[--j]) {} if (j < i) { break; } swap(i, j); } swap(i, end); return i; } /** * fast quicksort with recursive quicksort implementation */ private void fastQuickSortRecursive() { quickSort(0, count - 1); insertionSort(0, count - 1); sorted = true; } private void quickSort(int l, int r) { int M = 16; int i; int j; int v; if ((r - l) > M) { i = (r + l) >>> 1; if (lessThan(i, l)) { swap(l, i); // Tri-Median Method! } if (lessThan(r, l)) { swap(l, r); } if (lessThan(r, i)) { swap(i, r); } j = r - 1; swap(i, j); i = l; v = j; for (;;) { while (lessThan(++i, v)) {} while (lessThan(v, --j)) {} if (j < i) { break; } swap(i, j); } swap(i, r - 1); quickSort(l, j); quickSort(i + 1, r); } } private void insertionSort(int lo0, int hi0) { int i; int j; for (i = lo0 + 1; i <= hi0; i++) { j = i; while ((j > lo0) && lessThan(i, j - 1)) { j--; } if (i != j) { moveAndInsertRow(i, j); } } } private void moveAndInsertRow(int i, int j) { long col1 = keys[i]; long col2 = values[i]; moveRows(j, j + 1, i - j); keys[j] = col1; values[j] = col2; } private void swap(int i1, int i2) { long col1 = keys[i1]; long col2 = values[i1]; keys[i1] = keys[i2]; values[i1] = values[i2]; keys[i2] = col1; values[i2] = col2; } /** * Check if targeted column value in the row indexed i is less than the * search target object. * @param i the index * @return -1, 0 or +1 */ private int compare(int i) { if (targetSearchValue > keys[i]) { return 1; } else if (targetSearchValue < keys[i]) { return -1; } return 0; } /** * Check if row indexed i is less than row indexed j * @param i the first index * @param j the second index * @return true or false */ private boolean lessThan(int i, int j) { if (keys[i] < keys[j]) { return true; } return false; } private void moveRows(int fromIndex, int toIndex, int rows) { System.arraycopy(keys, fromIndex, keys, toIndex, rows); System.arraycopy(values, fromIndex, values, toIndex, rows); } private void doubleCapacity() { keys = (long[]) ArrayUtil.resizeArray(keys, capacity * 2); values = (long[]) ArrayUtil.resizeArray(values, capacity * 2); capacity *= 2; } public boolean addUnsorted(LongLookup other) { if (!ensureCapacityToAdd(other.size())) { return false; } sorted = false; for (int i = 0; i < other.size(); i++) { long key = other.getLongKey(i); long value = other.getLongValue(i); this.addUnsorted(key, value); } return true; } private boolean ensureCapacityToAdd(int extra) { if (count + extra > capacity) { while (count + extra > capacity) { doubleCapacity(); } } return true; } }





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