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376 lines
8.3 KiB
376 lines
8.3 KiB
5 years ago
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// Generated by CoffeeScript 1.8.0
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(function() {
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var Heap, defaultCmp, floor, heapify, heappop, heappush, heappushpop, heapreplace, insort, min, nlargest, nsmallest, updateItem, _siftdown, _siftup;
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floor = Math.floor, min = Math.min;
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/*
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Default comparison function to be used
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*/
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defaultCmp = function(x, y) {
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if (x < y) {
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return -1;
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}
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if (x > y) {
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return 1;
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}
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return 0;
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};
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/*
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Insert item x in list a, and keep it sorted assuming a is sorted.
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If x is already in a, insert it to the right of the rightmost x.
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Optional args lo (default 0) and hi (default a.length) bound the slice
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of a to be searched.
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*/
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insort = function(a, x, lo, hi, cmp) {
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var mid;
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if (lo == null) {
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lo = 0;
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}
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if (cmp == null) {
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cmp = defaultCmp;
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}
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if (lo < 0) {
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throw new Error('lo must be non-negative');
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}
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if (hi == null) {
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hi = a.length;
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}
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while (lo < hi) {
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mid = floor((lo + hi) / 2);
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if (cmp(x, a[mid]) < 0) {
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hi = mid;
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} else {
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lo = mid + 1;
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}
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}
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return ([].splice.apply(a, [lo, lo - lo].concat(x)), x);
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};
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/*
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Push item onto heap, maintaining the heap invariant.
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*/
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heappush = function(array, item, cmp) {
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if (cmp == null) {
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cmp = defaultCmp;
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}
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array.push(item);
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return _siftdown(array, 0, array.length - 1, cmp);
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};
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/*
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Pop the smallest item off the heap, maintaining the heap invariant.
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*/
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heappop = function(array, cmp) {
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var lastelt, returnitem;
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if (cmp == null) {
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cmp = defaultCmp;
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}
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lastelt = array.pop();
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if (array.length) {
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returnitem = array[0];
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array[0] = lastelt;
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_siftup(array, 0, cmp);
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} else {
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returnitem = lastelt;
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}
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return returnitem;
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};
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/*
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Pop and return the current smallest value, and add the new item.
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This is more efficient than heappop() followed by heappush(), and can be
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more appropriate when using a fixed size heap. Note that the value
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returned may be larger than item! That constrains reasonable use of
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this routine unless written as part of a conditional replacement:
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if item > array[0]
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item = heapreplace(array, item)
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*/
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heapreplace = function(array, item, cmp) {
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var returnitem;
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if (cmp == null) {
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cmp = defaultCmp;
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}
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returnitem = array[0];
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array[0] = item;
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_siftup(array, 0, cmp);
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return returnitem;
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};
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/*
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Fast version of a heappush followed by a heappop.
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*/
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heappushpop = function(array, item, cmp) {
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var _ref;
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if (cmp == null) {
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cmp = defaultCmp;
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}
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if (array.length && cmp(array[0], item) < 0) {
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_ref = [array[0], item], item = _ref[0], array[0] = _ref[1];
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_siftup(array, 0, cmp);
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}
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return item;
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};
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/*
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Transform list into a heap, in-place, in O(array.length) time.
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*/
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heapify = function(array, cmp) {
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var i, _i, _j, _len, _ref, _ref1, _results, _results1;
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if (cmp == null) {
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cmp = defaultCmp;
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}
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_ref1 = (function() {
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_results1 = [];
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for (var _j = 0, _ref = floor(array.length / 2); 0 <= _ref ? _j < _ref : _j > _ref; 0 <= _ref ? _j++ : _j--){ _results1.push(_j); }
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return _results1;
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}).apply(this).reverse();
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_results = [];
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for (_i = 0, _len = _ref1.length; _i < _len; _i++) {
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i = _ref1[_i];
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_results.push(_siftup(array, i, cmp));
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}
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return _results;
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};
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/*
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Update the position of the given item in the heap.
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This function should be called every time the item is being modified.
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*/
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updateItem = function(array, item, cmp) {
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var pos;
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if (cmp == null) {
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cmp = defaultCmp;
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}
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pos = array.indexOf(item);
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if (pos === -1) {
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return;
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}
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_siftdown(array, 0, pos, cmp);
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return _siftup(array, pos, cmp);
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};
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/*
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Find the n largest elements in a dataset.
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*/
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nlargest = function(array, n, cmp) {
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var elem, result, _i, _len, _ref;
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if (cmp == null) {
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cmp = defaultCmp;
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}
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result = array.slice(0, n);
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if (!result.length) {
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return result;
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}
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heapify(result, cmp);
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_ref = array.slice(n);
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for (_i = 0, _len = _ref.length; _i < _len; _i++) {
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elem = _ref[_i];
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heappushpop(result, elem, cmp);
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}
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return result.sort(cmp).reverse();
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};
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/*
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Find the n smallest elements in a dataset.
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*/
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nsmallest = function(array, n, cmp) {
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var elem, i, los, result, _i, _j, _len, _ref, _ref1, _results;
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if (cmp == null) {
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cmp = defaultCmp;
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}
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if (n * 10 <= array.length) {
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result = array.slice(0, n).sort(cmp);
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if (!result.length) {
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return result;
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}
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los = result[result.length - 1];
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_ref = array.slice(n);
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for (_i = 0, _len = _ref.length; _i < _len; _i++) {
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elem = _ref[_i];
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if (cmp(elem, los) < 0) {
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insort(result, elem, 0, null, cmp);
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result.pop();
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los = result[result.length - 1];
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}
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}
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return result;
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}
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heapify(array, cmp);
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_results = [];
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for (i = _j = 0, _ref1 = min(n, array.length); 0 <= _ref1 ? _j < _ref1 : _j > _ref1; i = 0 <= _ref1 ? ++_j : --_j) {
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_results.push(heappop(array, cmp));
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}
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return _results;
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};
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_siftdown = function(array, startpos, pos, cmp) {
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var newitem, parent, parentpos;
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if (cmp == null) {
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cmp = defaultCmp;
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}
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newitem = array[pos];
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while (pos > startpos) {
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parentpos = (pos - 1) >> 1;
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parent = array[parentpos];
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if (cmp(newitem, parent) < 0) {
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array[pos] = parent;
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pos = parentpos;
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continue;
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}
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break;
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}
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return array[pos] = newitem;
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};
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_siftup = function(array, pos, cmp) {
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var childpos, endpos, newitem, rightpos, startpos;
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if (cmp == null) {
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cmp = defaultCmp;
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}
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endpos = array.length;
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startpos = pos;
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newitem = array[pos];
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childpos = 2 * pos + 1;
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while (childpos < endpos) {
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rightpos = childpos + 1;
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if (rightpos < endpos && !(cmp(array[childpos], array[rightpos]) < 0)) {
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childpos = rightpos;
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}
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array[pos] = array[childpos];
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pos = childpos;
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childpos = 2 * pos + 1;
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}
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array[pos] = newitem;
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return _siftdown(array, startpos, pos, cmp);
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};
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Heap = (function() {
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Heap.push = heappush;
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Heap.pop = heappop;
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Heap.replace = heapreplace;
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Heap.pushpop = heappushpop;
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Heap.heapify = heapify;
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Heap.updateItem = updateItem;
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Heap.nlargest = nlargest;
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Heap.nsmallest = nsmallest;
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function Heap(cmp) {
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this.cmp = cmp != null ? cmp : defaultCmp;
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this.nodes = [];
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}
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Heap.prototype.push = function(x) {
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return heappush(this.nodes, x, this.cmp);
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};
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Heap.prototype.pop = function() {
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return heappop(this.nodes, this.cmp);
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};
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Heap.prototype.peek = function() {
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return this.nodes[0];
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};
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Heap.prototype.contains = function(x) {
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return this.nodes.indexOf(x) !== -1;
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};
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Heap.prototype.replace = function(x) {
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return heapreplace(this.nodes, x, this.cmp);
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};
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Heap.prototype.pushpop = function(x) {
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return heappushpop(this.nodes, x, this.cmp);
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};
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Heap.prototype.heapify = function() {
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return heapify(this.nodes, this.cmp);
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};
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Heap.prototype.updateItem = function(x) {
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return updateItem(this.nodes, x, this.cmp);
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};
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Heap.prototype.clear = function() {
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return this.nodes = [];
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};
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Heap.prototype.empty = function() {
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return this.nodes.length === 0;
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};
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Heap.prototype.size = function() {
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return this.nodes.length;
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};
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Heap.prototype.clone = function() {
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var heap;
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heap = new Heap();
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heap.nodes = this.nodes.slice(0);
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return heap;
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};
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Heap.prototype.toArray = function() {
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return this.nodes.slice(0);
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};
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Heap.prototype.insert = Heap.prototype.push;
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Heap.prototype.top = Heap.prototype.peek;
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Heap.prototype.front = Heap.prototype.peek;
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Heap.prototype.has = Heap.prototype.contains;
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Heap.prototype.copy = Heap.prototype.clone;
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return Heap;
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})();
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(function(root, factory) {
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if (typeof define === 'function' && define.amd) {
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return define([], factory);
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} else if (typeof exports === 'object') {
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return module.exports = factory();
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} else {
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return root.Heap = factory();
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}
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})(this, function() {
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return Heap;
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});
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}).call(this);
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