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https://github.com/autistic-symposium/master-algorithms-py.git
synced 2025-04-29 20:26:07 -04:00
last fixes: tree common ancestor
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@ -54,10 +54,22 @@ class Node(object):
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print self.item
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if self.left:
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return self.left._printPreorder()
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self.left._printPreorder()
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if self.right:
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return self.right._printPreorder()
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self.right._printPreorder()
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# Another possibility: use an array (a little bit more expensive):
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def _preorder_array(self):
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nodes = []
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if self.item:
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nodes.append(self.item)
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if self.left:
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nodes.extend(self.left._preorder_array())
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if self.right:
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nodes.extend(self.right._preorder_array())
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return nodes
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@ -80,6 +92,11 @@ class BST(object):
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if self.root:
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return self.root._search(value)
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def preorder_array(self):
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if self.root:
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return self.root._preorder_array()
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else:
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return 'Tree is empty.'
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if __name__ == '__main__':
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@ -47,6 +47,14 @@ class Node(object):
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return not self.right and not self.left
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def _preorder(self):
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print self.item
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if self.left:
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self.left._preorder()
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if self.right:
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self.right._preorder()
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class BT(object):
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@ -61,40 +69,14 @@ class BT(object):
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self.root._add(value)
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def printPreorder(self):
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current = self.root
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nodes, stack = [], []
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while stack or current:
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if current:
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nodes.append(current.item) # this is what change
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stack.append(current)
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current = current.left
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else:
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current = stack.pop()
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current = current.right
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print nodes
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def printInorder(self):
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current = self.root
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nodes, stack = [], []
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while stack or current:
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if current:
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stack.append(current)
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current = current.left
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else:
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current = stack.pop()
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nodes.append(current.item) # this is what change
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current = current.right
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print nodes
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def search(self, value):
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if self.root:
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return self.root._search(value)
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def preorder(self):
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if self.root:
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return self.root._preorder()
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if __name__ == '__main__':
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@ -111,7 +93,4 @@ if __name__ == '__main__':
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print
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print "Printing preorder..."
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bt.printPreorder()
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print "Printing Inorder..."
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bt.printInorder()
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bt.preorder()
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@ -14,14 +14,22 @@ class Node(object):
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if not self.value:
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self.value = new_node
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elif not self.left:
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self.left= new_node
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self.left = new_node
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elif not self. right:
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self.right = new_node
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else:
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self.left = self.left.add(value)
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return self # without this, it doesn't add!
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def search(self, item):
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if self.value == item:
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return True
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found = False
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if (self.left and self.left.search(item)) or \
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(self.right and self.right.search(item)):
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found = True
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return found
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def preorder(self):
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yield self.value
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if self.left:
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@ -40,7 +48,6 @@ class Node(object):
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for node in self.right.postorder():
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yield node
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def inorder(self):
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yield self.value
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if self.left:
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@ -50,6 +57,14 @@ class Node(object):
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for node in self.right.inorder():
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yield node
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# this is the most basic way to write this function
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def preorder_simple(self):
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print self.value
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if self.left:
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self.left.preorder_simple()
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if self.right:
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self.right.preorder_simple()
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# Another possibility: use an array (a little bit more expensive):
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def preorder_array(self):
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@ -74,6 +89,12 @@ class BT(object):
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else:
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self.root.add(value)
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def search(self, item):
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if self.root:
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return self.root.search(item)
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else:
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return 'Tree is empty.'
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def preorder(self):
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if self.root:
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return self.root.preorder()
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@ -98,6 +119,11 @@ class BT(object):
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else:
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return 'Tree is empty.'
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def preorder_simple(self):
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if self.root:
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return self.root.preorder_simple()
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else:
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return 'Tree is empty.'
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if __name__ == '__main__':
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@ -106,21 +132,38 @@ if __name__ == '__main__':
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for i in range(1, 11):
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tree.add(i)
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print 'Searching for node 4'
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print tree.search(4)
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print 'Searching for node 1'
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print tree.search(1)
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print 'Searching for node 12'
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print tree.search(12)
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print 'Pre-order generator...'
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getree = tree.preorder()
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for i in range(10):
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print next(getree)
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print
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print 'Pre-order array...'
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print tree.preorder_array()
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print
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print 'Pre-order simple...'
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tree.preorder_simple()
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print
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print 'Inorder...'
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getree = tree.inorder()
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for i in range(10):
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print next(getree)
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print
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print 'Postorder...'
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getree = tree.postorder()
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for i in range(10):
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@ -4,37 +4,54 @@ __author__ = "bt3"
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from binary_search_tree import BST, Node
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from transversal import inorder
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def find_ancestor(path, low_value, high_value):
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def find_ancestor(path, low_item, high_item):
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while path:
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current_value = path[0]
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current_item = path[0]
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if current_value < low_value:
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if current_item < low_item:
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try:
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path = path[2:]
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except:
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return current_value
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return current_item
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elif current_value > high_value:
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elif current_item > high_item:
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try:
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path = path[1:]
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except:
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return current_value
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return current_item
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elif low_item <= current_item <= high_item:
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return current_item
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def find_ancestor2(tree, n1, n2):
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if not tree:
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return False
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if n1 <= tree.item and n2 >= tree.item or (not tree.left and not tree.right) :
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return tree.item
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if tree.left and (n1 < tree.item and n2 < tree.item):
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return find_ancestor(tree.left, n1, n2) or tree.item
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if tree.right and (n1 > tree.item and n2 > tree.item):
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return find_ancestor(tree.right, n1, n2) or tree.item
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elif low_value <= current_value <= high_value:
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return current_value
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if __name__ == '__main__':
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bst = BST()
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l = [10, 5, 6, 3, 8, 2, 1, 11, 9, 4]
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for i in l:
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bst.add(i)
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nodes = inorder(bst.root)
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nodes = bst.preorder_array()
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print 'Original: ', l
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print 'Inorder: ', nodes
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print 'Preorder: ', nodes
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print 'Method 1: '
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print 'Ancestor for 3, 11:', find_ancestor(nodes, 3, 11)
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print 'Method 2: '
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print 'Ancestor for 3, 11: ', find_ancestor2(bst.root, 3, 11)
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