I have binary search tree code (It is hard code) doing ( insert , delete , max , min , sort and lookup ) and I want study efficancy for BST . I want create a random method to generate 1000 numbers rather than I enter number . How can I create this method ?
public class BinarySearchTree {
private Node root;
private static class Node {
Node parent;
Node left;
Node right;
int data;
Node( int data ) {
this.data = data;
}
@Override
public String toString( ) {
return "" + data;
}
}
public void insert( int data ) {
root = insert( root, data );
}
public Node insert( Node node, int data ) {
if( node == null ) {
node = new Node( data );
} else if( data < node.data ) {
node.left = insert( node.left, data );
node.left.parent = node;
} else {
node.right = insert( node.right, data );
node.right.parent = node;
}
return node;
}
private void swap( Node a, Node b ) {
if( a.parent == null ) {
root = b;
} else if( a == a.parent.left ) {
a.parent.left = b;
} else {
a.parent.right = b;
}
if( b != null ) {
b.parent = a.parent;
}
}
public void delete( int data ) {
delete( root, data );
}
public void delete( Node node, int data ) {
if( node == null ) {
return;
}
else if ( data == node.data) {
if( node.left == null ) {
swap( node, node.right );
}
else if( node.right == null ) {
swap( node, node.left );
}
else {
Node minNode = node.right;
while( minNode.left != null ) {
minNode = minNode.left;
}
if( minNode.parent != node ) {
swap( minNode, minNode.right );
minNode.right = node.right;
minNode.right.parent = minNode;
}
swap( node, minNode );
minNode.left = node.left;
minNode.left.parent = minNode;
}
}
// Continue searching in the left subtree.
else if( data < node.data) {
delete( node.left, data );
}
// Continue searching in the right subtree.
else {
delete( node.right, data );
}
}
public boolean lookup( int data ) {
return lookup( root, data );
}
public boolean lookup( Node node, int data ) {
if( node == null ) {
// Can't find it.
return false;
} else if( data == node.data) {
// Found it.
return true;
} else if( data < node.data) {
// Search left subtree.
return lookup( node.left, data );
} else {
// Search right subtree.
return lookup( node.right, data );
}
}
public int minValue( ) {
return minValue( root );
}
public int minValue( Node node ) {
Node cursor = node;
while( cursor.left != null ) {
cursor = cursor.left;
}
return cursor.data;
}
public int maxValue( ) {
return maxValue( root );
}
public int maxValue( Node node ) {
Node cursor = node;
while( cursor.right != null ) {
cursor = cursor.right;
}
return cursor.data;
}
public void inorderTraversal( ) {
inorderTraversal( root );
}
private void inorderTraversal( Node node ) {
if( node != null ) {
inorderTraversal( node.left );
System.out.print( node.data + " " );
inorderTraversal( node.right );
}
}
public static void main( String[ ] args ) {
BinarySearchTree bst = new BinarySearchTree( );
int[ ] input = new int[ ] { 5, 10, 3, 9, 7, 8 , 1 , 4 , 6 , 10};
for( int i : input ) {
bst.insert( i );
}
bst.delete( 5 );
bst.delete( 10 );
bst.delete( 3 );
bst.delete( 7 );
System.out.println( "\n Sorted :" );
bst.inorderTraversal( );
System.out.println( "\nMax Value:" );
System.out.println(bst.maxValue());
System.out.println( "\n Min Value:" );
System.out.println(bst.minValue());
System.out.println(bst.lookup(1));
}
}