version 1.12, 2005/02/16 10:27:53
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version 1.15, 2005/02/17 08:01:32
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#include<string> | #include<string> |
#include <queue> | #include <queue> |
#include <stack> | #include <stack> |
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#include <vector> |
#include <stdio.h> | #include <stdio.h> |
// yes I could use just one i/o lib |
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using namespace std; |
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// As per specification, the project has to be able to grow to an |
using namespace std; |
// arbitrary amount of items. MAX_ITEMS describes the size of the |
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// appropriate arrays and must be changed at compile time. |
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// (dynamically created arrays had their pointers corrupted when |
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// their parent object was in the priority queue, so static sized |
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// arrays were used |
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#define MAX_ITEMS 65536 |
//threading might be useful except for the fact that our target machine is likely to have a single processor |
//the above bound comes from the fixed value for the boolean array TODO REMOVE LIMITATION |
// what about task limiting from SEAS? |
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// actually sparc machines on ugrad are multiple processor -- could I thread/fork the calculations? would overhead > savings |
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// also if i was really stingy, I could revert to the arrays I had before, make them dynamic and create a copy ctor for key |
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// of course, vector<bool> packs 8 bools in a byte, arrays dont |
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typedef long ITEM_MASS; | typedef long ITEM_MASS; |
typedef long INDEX_TYPE; | typedef long INDEX_TYPE; |
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// * CLASS : item * | // * CLASS : item * |
// * Container object with all the data for a particular item * | // * Container object with all the data for a particular item * |
// ****************************************************************** | // ****************************************************************** |
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//since items are no longer special in any way, I could actually just use a vector now! |
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// would this be any faster? |
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class item { | class item { |
public: | public: |
// float getRatio(); |
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ITEM_MASS getWeight(); | ITEM_MASS getWeight(); |
ITEM_MASS getCost(); |
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// ITEM_MASS getNumber(); |
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void setData(ITEM_MASS); | void setData(ITEM_MASS); |
private: | private: |
ITEM_MASS weight; | ITEM_MASS weight; |
ITEM_MASS cost; |
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// float ratio; |
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// ITEM_MASS number; |
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}; | }; |
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// ****************************************************************** | // ****************************************************************** |
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void flagNext(); | void flagNext(); |
void addCurItem(); | void addCurItem(); |
bool doneItems(); | bool doneItems(); |
float getBound(); |
ITEM_MASS getBound(); |
bool checkItem(INDEX_TYPE); | bool checkItem(INDEX_TYPE); |
ITEM_MASS getWeight(); | ITEM_MASS getWeight(); |
ITEM_MASS getValue(); |
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private: | private: |
void calcBound(); | void calcBound(); |
bool inserted[MAX_ITEMS]; |
vector<bool> inserted; |
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// replace with a vector! this allows us to remove MAX_ITEMS without the fussyness of copying the |
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// contents of a pointer etc like before! |
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// bool inserted[MAX_ITEMS]; |
INDEX_TYPE nextitem; | INDEX_TYPE nextitem; |
ITEM_MASS cur_weight; | ITEM_MASS cur_weight; |
ITEM_MASS cur_value; |
ITEM_MASS upper_bound; |
float upper_bound; |
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backpack *myBackpack; | backpack *myBackpack; |
}; | }; |
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struct item_comparator { | struct item_comparator { |
bool operator()( item left, item right ) const | bool operator()( item left, item right ) const |
// { return ( left.getRatio() < right.getRatio() ) ; } | // { return ( left.getRatio() < right.getRatio() ) ; } |
{ return 0 ; } //same ratio to all, don't actually do a compare! |
// { return ( left.getWeight() < right.getWeight() ); } |
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{return 0;} |
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// larger boxes are preferable to smaller boxes |
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// removes the need for sort at beginning. |
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// this actually massively increases the time cost for my sample set. defaulting to dumb sort |
} ; | } ; |
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// ****************************************************************** | // ****************************************************************** |
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class backpack { | class backpack { |
public: | public: |
void initBackpack(INDEX_TYPE, ITEM_MASS); | void initBackpack(INDEX_TYPE, ITEM_MASS); |
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void changeBackpack(INDEX_TYPE); |
void putItem(ITEM_MASS);//, ITEM_MASS); | void putItem(ITEM_MASS);//, ITEM_MASS); |
void store_item_array(); | void store_item_array(); |
void branch_and_bound(int,ITEM_MASS); | void branch_and_bound(int,ITEM_MASS); |
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this->myBackpack = theCaller; | this->myBackpack = theCaller; |
this->nextitem=0; | this->nextitem=0; |
this->cur_weight=0; | this->cur_weight=0; |
this->cur_value=0; |
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this->calcBound(); | this->calcBound(); |
} | } |
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// * as processed, then updates the bound. * | // * as processed, then updates the bound. * |
// ****************************************************************** | // ****************************************************************** |
void key::flagNext(){ | void key::flagNext(){ |
this->inserted[this->nextitem]=0; |
// this->inserted[this->nextitem]= 0; |
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this->inserted.push_back(0); |
nextitem++; | nextitem++; |
this->calcBound(); | this->calcBound(); |
} | } |
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// ****************************************************************** | // ****************************************************************** |
void key::addCurItem(){ | void key::addCurItem(){ |
nextitem--; | nextitem--; |
this->inserted[this->nextitem]=1; |
this->inserted.push_back(1); |
this->cur_value += (this->myBackpack->get_Item(this->nextitem)).getCost(); |
// this->inserted[this->nextitem]=1; |
this->cur_weight += (this->myBackpack->get_Item(this->nextitem)).getWeight(); | this->cur_weight += (this->myBackpack->get_Item(this->nextitem)).getWeight(); |
nextitem++; | nextitem++; |
this->calcBound(); | this->calcBound(); |
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// * FUNCTION : getBound IN : CLASS key * | // * FUNCTION : getBound IN : CLASS key * |
// * Returns the bound. * | // * Returns the bound. * |
// ****************************************************************** | // ****************************************************************** |
float key::getBound(){ |
ITEM_MASS key::getBound(){ |
return this->upper_bound; | return this->upper_bound; |
} | } |
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// * If the weight is over max_weight, set the bound to 0 * | // * If the weight is over max_weight, set the bound to 0 * |
// ****************************************************************** | // ****************************************************************** |
void key::calcBound(){ | void key::calcBound(){ |
float temp; |
ITEM_MASS temp; |
if (this->doneItems()) { | if (this->doneItems()) { |
temp = 0; | temp = 0; |
} | } |
else { | else { |
temp = (float)((this->myBackpack->get_maxWeight()) - cur_weight); |
temp = ((this->myBackpack->get_maxWeight()) - cur_weight); |
// temp = temp * (this->myBackpack->get_Item(this->nextitem)).getRatio(); (ratio = 1!) |
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} | } |
this->upper_bound = cur_value + temp; |
this->upper_bound = cur_weight + temp; |
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// What about if the bag is overloaded? | // What about if the bag is overloaded? |
if (this->cur_weight > this->myBackpack->get_maxWeight()){ | if (this->cur_weight > this->myBackpack->get_maxWeight()){ |
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} | } |
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// ****************************************************************** | // ****************************************************************** |
// * FUNCTION : getValue IN : CLASS key * |
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// * Gets the Value of the current key. * |
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// ****************************************************************** |
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ITEM_MASS key::getValue(){ |
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return this->cur_value; |
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} |
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// ****************************************************************** |
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// * FUNCTION : getWeight IN : CLASS key * | // * FUNCTION : getWeight IN : CLASS key * |
// * Gets the Weight of the current key. * | // * Gets the Weight of the current key. * |
// ****************************************************************** | // ****************************************************************** |
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} | } |
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// ****************************************************************** | // ****************************************************************** |
// * FUNCTION : getRatio IN : CLASS item * |
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// * Gets the Ratio for the current item. * |
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// ****************************************************************** |
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//float item::getRatio(){ |
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// return ratio; |
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//} |
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// ****************************************************************** |
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// * FUNCTION : getWeight IN : CLASS item * | // * FUNCTION : getWeight IN : CLASS item * |
// * Gets the Weight of the current item. * | // * Gets the Weight of the current item. * |
// ****************************************************************** | // ****************************************************************** |
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return this->weight; | return this->weight; |
} | } |
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// ****************************************************************** |
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// * FUNCTION : getCost IN : CLASS item * |
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// * Gets the Value of the current item. * |
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// ****************************************************************** |
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ITEM_MASS item::getCost(){ |
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return this->cost; |
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} |
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// ****************************************************************** |
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// * FUNCTION : getNumber IN : CLASS item * |
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// * Gets the Index of the current item. * |
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// ****************************************************************** |
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//ITEM_MASS item::getNumber(){ |
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// return this->number; |
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//} |
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// ****************************************************************** | // ****************************************************************** |
// * FUNCTION : setData IN : CLASS item * | // * FUNCTION : setData IN : CLASS item * |
// * Sets all the data for an item. * | // * Sets all the data for an item. * |
// ****************************************************************** | // ****************************************************************** |
void item::setData(ITEM_MASS weightage){ //, ITEM_MASS costage, ITEM_MASS numerage){ | void item::setData(ITEM_MASS weightage){ //, ITEM_MASS costage, ITEM_MASS numerage){ |
this->cost = weightage; //costage; |
// this->cost = weightage; //costage; |
this->weight = weightage; | this->weight = weightage; |
// this->ratio = ( (float)(cost)/(float)(weight) ); | // this->ratio = ( (float)(cost)/(float)(weight) ); |
// this->ratio = 1; //ratio = 1 | // this->ratio = 1; //ratio = 1 |
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// * Initalizes the backpack values and creates the item array * | // * Initalizes the backpack values and creates the item array * |
// ****************************************************************** | // ****************************************************************** |
void backpack::initBackpack(INDEX_TYPE total, ITEM_MASS max){ | void backpack::initBackpack(INDEX_TYPE total, ITEM_MASS max){ |
this->totalItems = total; |
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this->maxWeight = max; | this->maxWeight = max; |
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this->totalItems = total; |
item_array = new item[total]; | item_array = new item[total]; |
worknodeCount = 0; | worknodeCount = 0; |
addnodeCount = 0; | addnodeCount = 0; |
} | } |
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// ****************************************************************** | // ****************************************************************** |
// * FUNCTION : putItem IN : CLASS backpack * | // * FUNCTION : putItem IN : CLASS backpack * |
// * Creates an item and places it into the priority queue * | // * Creates an item and places it into the priority queue * |
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this->addnodeCount++; | this->addnodeCount++; |
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bool onwards = 1; | bool onwards = 1; |
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do | do |
{ | { |
temp_key = key_queue.top(); | temp_key = key_queue.top(); |
this->key_queue.pop(); | this->key_queue.pop(); |
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/*Early skip here -- MASSIVE speed improvements */ |
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if ( temp_key.getWeight() == targetvalue ) { |
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//printf("Early value acquired! %d\n",temp_key.getWeight() ); |
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goto early; // yes thats a go to. Its the only way to leave and keep the context right. I know its horrible |
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} |
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// printf("reached %d\n",temp_key.getWeight()); |
if ( temp_key.doneItems() ) { | if ( temp_key.doneItems() ) { |
onwards = 0; | onwards = 0; |
} | } |
else { | else { |
this->worknodeCount++; |
// this->worknodeCount++; |
temp_key.flagNext(); | temp_key.flagNext(); |
this->key_queue.push(temp_key); | this->key_queue.push(temp_key); |
this->addnodeCount++; |
// this->addnodeCount++; |
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// try this --- compare quicksorted before and after because of greedy grabbing largest |
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//should find other comparator for weight with sub data like ... pct done |
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temp_key.addCurItem(); | temp_key.addCurItem(); |
if (temp_key.getBound() != 0){ |
if (temp_key.getBound() != 0){ //insert only if active. |
this->key_queue.push(temp_key); | this->key_queue.push(temp_key); |
this->addnodeCount++; |
// this->addnodeCount++; |
} | } |
} | } |
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// commenting out worknode trackerincreases speed by 3% |
} | } |
while (onwards); | while (onwards); |
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early: if (DEBUG_MODE) { |
if (DEBUG_MODE) { |
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printf("Case n=%2d Total possible nodes in thie state space tree is 2^%2d-1\n",this->totalItems,this->totalItems); | printf("Case n=%2d Total possible nodes in thie state space tree is 2^%2d-1\n",this->totalItems,this->totalItems); |
printf(" Number of nodes placed in the priority queue: %6d\n",this->addnodeCount); |
printf(" DISABLED Number of nodes placed in the priority queue: %6d\n",this->addnodeCount); |
printf(" Number of nodes examined/split: %6d\n",this->worknodeCount); |
printf(" DISABLED Number of nodes examined/split: %6d\n",this->worknodeCount); |
/* printf("\nObjects Chosen \n"); |
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printf("\t\tWeights\tValues\n"); |
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int totalitemsinserted = 0; |
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for (int i = 0; this->totalItems > i; i++) { |
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if ( temp_key.checkItem(i) ) { |
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printf("\t\t%4.2f\t%4.2f\n", this->item_array[i].getWeight(), this->item_array[i].getCost()); |
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totalitemsinserted++; // this->item_array[i].getNumber(), removed |
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} |
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} | } |
printf("======================================================\n"); |
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printf("Totals:\t%3d\t%4.2f\t%4.2f\n",totalitemsinserted, temp_key.getWeight(), temp_key.getValue()); |
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// printf("Ratio : %2.5f\n", ((float)temp_key.getValue()/(float)temp_key.getWeight())); */ |
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} |
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if ( temp_key.getWeight() == targetvalue ) { | if ( temp_key.getWeight() == targetvalue ) { |
int totalitemsinserted = 0; | int totalitemsinserted = 0; |
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else { printf("CANNOT FILL PALLET\n"); } | else { printf("CANNOT FILL PALLET\n"); } |
} | } |
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/* |
void super_increase_algo ( vector<ITEM_MASS> inventory, ITEM_MASS target_value , int DEBUG_MODE ) { |
// have to deal with non int #s |
stack<ITEM_MASS> packages_to_load; |
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INDEX_TYPE size_inventory = inventory.size(); |
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if (DEBUG_MODE) { |
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printf("Extracting values, highest to lowest, doing reduction from index %d\n",size_inventory); |
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} |
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for ( INDEX_TYPE store_index=size_inventory-1; store_index>=0;store_index-- ) { |
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if (DEBUG_MODE) { |
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printf("value %d, is it smaller than %d? If so, subtract and store.\n",inventory[store_index],target_value); |
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} |
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if ( inventory[store_index] <= target_value ) { |
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target_value = target_value - inventory[store_index]; |
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packages_to_load.push(inventory[store_index]); |
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} |
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} |
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if ( target_value == 0 ) { |
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int first = 1; |
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while ( ! packages_to_load.empty() ) { |
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if (first==0) { printf(","); } |
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else {first = 0;} // there has GOT to be a better way! |
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printf("%d",packages_to_load.top()); |
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packages_to_load.pop(); |
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} |
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printf("\n"); |
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} |
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else { printf("CANNOT FILL PALLET\n"); } |
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} |
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int intcomp (const void * a, const void * b) |
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{ |
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return ( *(int*)a - *(int*)b ); |
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}*/ |
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void syntaxmsg(){ | void syntaxmsg(){ |
printf("Usage:\n"); | printf("Usage:\n"); |
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return; | return; |
} | } |
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ITEM_MASS masscomp (const void * a, const void * b) |
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{ |
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return ( *(ITEM_MASS*)a - *(ITEM_MASS*)b ); |
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} |
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// ****************************************************************** | // ****************************************************************** |
// * FUNCTION : main * | // * FUNCTION : main * |
// * Initalizes the backpack and the items inside. * | // * Initalizes the backpack and the items inside. * |
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printf("All compiled / source code are (C) Rizwan Kassim 2005\n\n"); | printf("All compiled / source code are (C) Rizwan Kassim 2005\n\n"); |
} | } |
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INDEX_TYPE max_inventory; |
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ifstream inputfs; | ifstream inputfs; |
inputfs.open (argv[1]); | inputfs.open (argv[1]); |
if (!inputfs.is_open()) | if (!inputfs.is_open()) |
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length = inputfs.tellg(); | length = inputfs.tellg(); |
inputfs.seekg (0, ios::beg); | inputfs.seekg (0, ios::beg); |
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max_inventory= 1 + length/2; // Elements cannot be more than this amount |
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char * read_buffer = (char *) malloc (length); | char * read_buffer = (char *) malloc (length); |
ITEM_MASS * inventory = (ITEM_MASS *) malloc (length); |
vector<ITEM_MASS> inventory; |
// could use stack instead of array --- doesn't require malloc, more 'safe' avoids overflows, esp if | // could use stack instead of array --- doesn't require malloc, more 'safe' avoids overflows, esp if |
// input file is funky --- its better software engineering, but its slower. Given that this is a pretty | // input file is funky --- its better software engineering, but its slower. Given that this is a pretty |
// small system, I'll stick with the array |
// small system, I'll stick with the array --- oh even better -- a vector! |
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//http://theory.stanford.edu/~amitp/rants/c++-vs-c/ Vector speed sorting is optimized by using vector! |
inputfs.getline (read_buffer, length-1); | inputfs.getline (read_buffer, length-1); |
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char * theToken; INDEX_TYPE index = 0; | char * theToken; INDEX_TYPE index = 0; |
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// assume 1+ items | // assume 1+ items |
while ( theToken != NULL ) { | while ( theToken != NULL ) { |
//printf("tokendebug %d %f\n",theToken,theToken); | //printf("tokendebug %d %f\n",theToken,theToken); |
inventory[index] = atol(theToken); |
inventory.push_back(atol(theToken)); |
//printf("index %d, token %s, value %d\n",index,theToken,inventory[index]); | //printf("index %d, token %s, value %d\n",index,theToken,inventory[index]); |
index++; | index++; |
theToken = strtok (NULL,","); | theToken = strtok (NULL,","); |
} | } |
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INDEX_TYPE size_inventory = index; //remember this is 1 based, not 0 |
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int SUPER_MODE = 0; | int SUPER_MODE = 0; |
if (inventory[0]==1) { SUPER_MODE=0;} |
if (inventory[0]==1) { SUPER_MODE=1;} |
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if (DEBUG_MODE) { | if (DEBUG_MODE) { |
printf("Line 1 read - %d products from warehouse\n", size_inventory); |
printf("Line 1 read - %d products from warehouse\n", inventory.size()); |
if (SUPER_MODE) printf("Working in Superincreasing mode!\n"); | if (SUPER_MODE) printf("Working in Superincreasing mode!\n"); |
} | } |
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// qsort ( inventory, size_inventory, sizeof(int), intcomp); // we now have a sorted list |
// sort (inventory.begin(), inventory.end(),std::greater<ITEM_MASS>() ); |
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// sort (inventory.begin(), inventory.end()); // most efficient, uses largest boxes inherently |
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// NEED TRY/CATCH error handling for possible segfault locations | // NEED TRY/CATCH error handling for possible segfault locations |
inputfs.getline (read_buffer, length-1); | inputfs.getline (read_buffer, length-1); |
ITEM_MASS palette_size=atoi(read_buffer); |
ITEM_MASS palette_size=atol(read_buffer); |
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if (DEBUG_MODE) { | if (DEBUG_MODE) { |
printf("Line 2 read - %d weight units can fit onto palette\n",palette_size); | printf("Line 2 read - %d weight units can fit onto palette\n",palette_size); |
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inputfs.close(); | inputfs.close(); |
free(read_buffer); | free(read_buffer); |
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if |
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// ckeanup, release memeory, close files here |
// I could use a class to extrapolate out the file loading function like my 499 project.... |
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// I could use a class to extrapolate out the file loading function like my 499 project.... |
if (SUPER_MODE) { |
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super_increase_algo (inventory, palette_size , DEBUG_MODE ); |
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return 0; |
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} |
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// filter out oversizes BEFORE we insert them above, therefore making life complicated |
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vector<ITEM_MASS>::iterator itInventory; |
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// printf("inventory before %d\n",inventory.size()); |
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for(itInventory = inventory.begin(); itInventory != inventory.end(); itInventory++) { |
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if (*itInventory > palette_size ) { |
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// printf("%d removing at , left %d!\n",*itInventory,inventory.size()); |
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inventory.erase(itInventory); |
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itInventory--; |
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// printf("%d removed at %d, left!\n",*itInventory,inventory.size()); |
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// remove elements that are too large. its a n increase here, but >>n increase if done later |
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} |
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} |
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backpack knapsackOne; | backpack knapsackOne; |
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knapsackOne.initBackpack(size_inventory,palette_size); |
knapsackOne.initBackpack(inventory.size(),palette_size); |
if (DEBUG_MODE) { | if (DEBUG_MODE) { |
printf("init %d, %d\n",size_inventory,palette_size); |
printf("init %d, %d\n",inventory.size(),palette_size); |
} | } |
for ( INDEX_TYPE store_index=0; size_inventory>store_index;store_index++ ) { |
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knapsackOne.putItem(inventory[store_index]); |
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if (DEBUG_MODE) { |
for(itInventory = inventory.begin(); itInventory != inventory.end(); itInventory++) { |
printf("insert %d\n",inventory[store_index]); |
knapsackOne.putItem(*itInventory); |
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// if (DEBUG_MODE) { |
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// printf("insert %d\n",*itInventory); |
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// } |
} | } |
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} |
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knapsackOne.store_item_array(); | knapsackOne.store_item_array(); |
free(inventory); |
inventory.clear(); |
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knapsackOne.branch_and_bound(DEBUG_MODE,palette_size); | knapsackOne.branch_and_bound(DEBUG_MODE,palette_size); |
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printf("\n"); | printf("\n"); |
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void super ( ITEM_MASS target_value , INDEX_TYPE size_inventory, int DEBUG_MODE ) { |
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// input, a super increasing set, lowest to highest. |
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// the number of elements in the list [1-ordinal] |
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// a target value. |
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//debugmode |
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// need to output values that sum to target |
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// need another place to store. --- not another array, need LIFO structure. A stack of course. |
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// we have to count downwards during super increasing, or we could qsort the list. (not going to do that) |
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stack<ITEM_MASS> packages_to_load; |
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if (DEBUG_MODE) { |
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printf("Extracting values, highest to lowest, doing reduction\n"); |
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} |
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for ( INDEX_TYPE store_index=size_inventory-1; size_inventory<=0;store_index-- ) { |
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if (DEBUG_MODE) { |
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printf("value %d, is it smaller than %d? If so, subtract and store.\n",inventory[store_index],target_value); |
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} |
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if ( inventory[store_index] <= target_value ) { |
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target_value = target_value - inventory[store_index]; |
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packages_to_load.push(inventory[store_index]); |
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} |
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} |
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if ( target_value == 0 ) { |
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int first = 1; |
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while ( ! packages_to_load.empty() ) { |
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if (first==0) { printf(","); } |
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else {first = 0;} // there has GOT to be a better way! |
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printf("%d",packages_to_load.top()); |
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packages_to_load.pop(); |
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} |
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else { printf("CANNOT FILL PALLET\n"); } |
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} |
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goal 1 - lets remove the double call to the creator function, weight=value ratio=1 | goal 1 - lets remove the double call to the creator function, weight=value ratio=1 |
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large set time : |
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103,199,67,119,152,119,181,85,74,73,130,82,79,98,99,95,101,81,54,129,157,88,177,97,122,74,46,77,142,39,61,13,86,173,83,180,49,196,144,101,43,28,3,139,127,149,64,194,18,168,75,89,110,113,113,183,124,4,143,61,70,162,161,101,75,47,51,28,4,149,44,58,131,36,53,18,118,89,37,12,99,38,189,98,164,65,109,190,103,113,160,51,113,130,113,50,26,138,153,196,80,193,40,197,52,195,190,97,108,111,141,2,180,5,125,139,38,21,60,148,191,158,169,50,155,167,152,25,154,3,11,1 |
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real 1m14.327s |
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user 1m11.530s |
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sys 0m0.421s |
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with goto removed. |
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largeset time with early leave! |
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Early value acquired! 13273 |
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133,103,105,199,33,67,119,119,181,85,74,73,26,130,82,79,98,99,95,101,81,54,129,157,88,177,97,122,74,46,77,142,39,61,13,86,173,83,180,49,196,144,101,43,28,3,139,127,149,64,194,18,168,75,89,110,113,113,183,124,4,143,61,70,162,161,101,75,47,51,28,4,149,44,58,131,36,53,18,118,89,37,12,99,38,189,98,164,65,109,190,103,113,160,51,113,130,113,50,26,138,153,196,80,193,40,197,52,195,190,97,108,111,141,2,180,5,53,125,139,38,21,60,148,191,158,169,50,155,167,25,86,24,3,10 |
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real 0m2.594s |
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user 0m2.093s |
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sys 0m0.468s |
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Case n=4555 Total possible nodes in thie state space tree is 2^4555-1 |
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Number of nodes placed in the priority queue: 45994 |
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Number of nodes examined/split: 45381 |
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real 1m5.247s |
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user 1m3.374s |
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sys 0m0.327s |
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after a presort. What about decsending sort? |
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note, removing -g only kills a 1 second or something |
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real 0m2.446s |
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user 0m2.186s |
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sys 0m0.203s |
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with presort and early out |
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with sort and weight based item compare |
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with item based compare |
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real 0m2.676s |
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user 0m2.499s |
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sys 0m0.108s |
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item based compare AND sort |
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real 0m2.543s |
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user 0m2.452s |
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sys 0m0.062s |
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*/ | */ |
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