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