Using self.xxxx as a default parameter - Python - python

I'm trying to simplify one of my homework problems and make the code a little better. What I'm working with is a binary search tree. Right now I have a function in my Tree() class that finds all the elements and puts them into a list.
tree = Tree()
#insert a bunch of items into tree
then I use my makeList() function to take all the nodes from the tree and puts them in a list.
To call the makeList() function, I do tree.makeList(tree.root). To me this seems a little repetitive. I'm already calling the tree object with tree.so the tree.root is just a waste of a little typing.
Right now the makeList function is:
def makeList(self, aNode):
if aNode is None:
return []
return [aNode.data] + self.makeList(aNode.lChild) + self.makeList(aNode.rChild)
I would like to make the aNode input a default parameter such as aNode = self.root (which does not work) that way I could run the function with this, tree.makeList().
First question is, why doesn't that work?
Second question is, is there a way that it can work? As you can see the makeList() function is recursive so I cannot define anything at the beginning of the function or I get an infinite loop.
EDIT
Here is all the code as requested:
class Node(object):
def __init__(self, data):
self.data = data
self.lChild = None
self.rChild = None
class Tree(object):
def __init__(self):
self.root = None
def __str__(self):
current = self.root
def isEmpty(self):
if self.root == None:
return True
else:
return False
def insert (self, item):
newNode = Node (item)
current = self.root
parent = self.root
if self.root == None:
self.root = newNode
else:
while current != None:
parent = current
if item < current.data:
current = current.lChild
else:
current = current.rChild
if item < parent.data:
parent.lChild = newNode
else:
parent.rChild = newNode
def inOrder(self, aNode):
if aNode != None:
self.inOrder(aNode.lChild)
print aNode.data
self.inOrder(aNode.rChild)
def makeList(self, aNode):
if aNode is None:
return []
return [aNode.data] + self.makeList(aNode.lChild) + self.makeList(aNode.rChild)
def isSimilar(self, n, m):
nList = self.makeList(n.root)
mList = self.makeList(m.root)
print mList == nList

larsmans answered your first question
For your second question, can you simply look before you leap to avoid recursion?
def makeList(self, aNode=None):
if aNode is None:
aNode = self.root
treeaslist = [aNode.data]
if aNode.lChild:
treeaslist.extend(self.makeList(aNode.lChild))
if aNode.rChild:
treeaslist.extend(self.makeList(aNode.rChild))
return treeaslist

It doesn't work because default arguments are evaluated at function definition time, not at call time:
def f(lst = []):
lst.append(1)
return lst
print(f()) # prints [1]
print(f()) # prints [1, 1]
The common strategy is to use a None default parameter. If None is a valid value, use a singleton sentinel:
NOTHING = object()
def f(arg = NOTHING):
if arg is NOTHING:
# no argument
# etc.

If you want to treat None as a valid argument, you could use a **kwarg parameter.
def function(arg1, arg2, **kwargs):
kwargs.setdefault('arg3', default)
arg3 = kwargs['arg3']
# Continue with function
function("amazing", "fantastic") # uses default
function("foo", "bar", arg3=None) # Not default, but None
function("hello", "world", arg3="!!!")
I have also seen ... or some other singleton be used like this.
def function(arg1, arg2=...):
if arg2 is ...:
arg2 = default

Related

I want to make a linked list by dummy headed But why the code is printing reverse!!. Here is my code

I want to make a linked list by dummy headed circular but I can't understand why the code is printing reverse.
class Node:
def __init__(self, value, next, prev ):
self.data = value
self.next = next
self.prev = prev
class DoublyList:
def __init__(self, c):
self.head = Node(None,None,None) #instance variable
self.head.prev = self.head.next = self.head
for i in c:
store = Node(i, None, None)
store.next = self.head.next
store.prev = self.head
self.head.next = store
store.next.prev = store
def showList(self):
n = self.head.next
while n !=self.head:
print(n.data, end=' ')
n = n.next
a = [10,20,30,40,50,60]
l1 = DoublyList(a)
l1.showList()
Since you want to add each subsequent node after the last node in the list, it should be inserted just before the sentinel (head) node.
I would also suggest the following change to the Node constructor, so that it defaults to making a self-reference when the second and third argument are not provided:
class Node:
def __init__(self, value, nxt=None, prev=None):
self.data = value
self.next = nxt or self
self.prev = prev or self
And make good use of those parameters when you do pass arguments for them:
class DoublyList:
def __init__(self, c):
self.head = Node(None)
for i in c:
store = Node(i, self.head, self.head.prev)
store.prev.next = store.next.prev = store
The following code works:
class DoublyList:
def __init__(self, c):
self.head = Node(None,None,None) #instance variable
self.head.prev = self.head.next = self.head
for i in c:
store = Node(i, None, None)
store.prev = self.head.prev
store.next = self.head
self.head.prev = store
store.prev.next = store
print(store," ",store.prev)
if store.prev==self.head:
self.head.next=store #first node
There were 2 problems with your original code:
1:
You switched the prev and the next attribute. This is an easy fix: just change all `prev` attributes into `next` and vice versa.
2:
When executing the code after that, you might have noticed that there's nothing printed at all. This happens because your `self.head.next` remains setted to `self.head`, making your program not even start the while loop. To fix it, you've to find the first node in your for loop, and set `self.head.next` to it

Why is my helper method not activating recursively?

I have a Binary Search Tree and I am trying to trace recursively in order through the tree and append each key,value to a list. It is only appending the first key,value to the list and not going through the list in order. I pasted my code below, along with the test code I used at the bottom. Any help on how to get past this issue is super appreciated!
class TreeMap:
class Node:
def __init__(self, key, value):
self.key = key
self.value = value
self.left = None
self.right = None
def __init__(self):
self.root = None
self.numsearches = 0
self.numcomparisons = 0
def add(self, newkey, newvalue):
newkey = newkey.lower()
if self.root == None:
self.root = TreeMap.Node(newkey, newvalue)
else:
TreeMap.add_helper(self.root, newkey, newvalue)
def add_helper(thisnode, newkey, newvalue):
if newkey <= thisnode.key:
if thisnode.left == None:
thisnode.left = TreeMap.Node(newkey, newvalue)
else:
TreeMap.add_helper(thisnode.left, newkey, newvalue)
else:
if thisnode.right == None:
thisnode.right = TreeMap.Node(newkey, newvalue)
else:
TreeMap.add_helper(thisnode.right, newkey, newvalue)
def print(self):
TreeMap.print_helper(self.root, 0)
def print_helper(somenode, indentlevel):
if somenode == None:
print(" "*(indentlevel),"---")
return
if not TreeMap.isleaf(somenode):
TreeMap.print_helper(somenode.right, indentlevel + 5)
print(" "*indentlevel + str(somenode.key) + ": " +str(somenode.value))
if not TreeMap.isleaf(somenode):
TreeMap.print_helper(somenode.left, indentlevel + 5)
def isleaf(anode):
return anode.left == None and anode.right == None
def listify(self, whichorder="in"):
'''
Returns a list consisting of all the payloads of the tree. (This returns a plain old Python List.)
The order of the payloads is determined by whichorder, which defaults to inorder.
The other possibilities are "pre" and "post".
If the tree is empty, return the empty list.
'''
assert type(whichorder) is str,"Whichorder is a string, and can only be pre, in or post"
assert whichorder in ["pre","in","post"],"Whichorder is a string, and can only be pre, in or post"
return TreeMap.listify_helper(self.root, whichorder)
def listify_helper(somenode, whichorder):
order_list = []
if somenode == None:
return order_list
elif somenode != None and whichorder == 'in':
TreeMap.listify_helper(somenode.left, 'in')
order_list.append(somenode.key+ '='+somenode.value)
TreeMap.listify_helper(somenode.right, 'in')
return order_list
TEST CODE:
import treemap
translator = treemap.TreeMap()
translator.add("cat", "Katze")
translator.add("bird", "Vogel")
translator.add("dog", "Hund")
translator.add("snake", "IDK")
translator.add("bear", "IDK")
translator.add("octopus", "Tintenfisch")
translator.add("horse", "Pferd")
translator.add("zebra", "IDK")
translator.print()
print("---------------------------------------------------")
print (translator.listify())
The problem is here:
def listify_helper(somenode, whichorder):
order_list = []
This function initialises its own local order_list every time it is invoked. Pass order_list as a parameter instead so that the same list is appended to by each recursive invocation.
Alternatively, append each element of the result of the recursive calls of listify_helper to order_list, although this approach could result in unneeded copying.

Binary Search Tree fail to insert

It works well when only insert value to the root. But when it comes to inserting other node, it fails to insert and the only thing i get is the root value. Here is the code:
class BinarySearchTree():
class BinarySearchTreeNode():
def __init__(self,leftchildnode,rightchildnode,item):
self.leftchildnode = leftchildnode
self.rightchildnode = rightchildnode
self.item = item
def __init__(self):
self.root = None
def insert(self,item):
if self.root == None:
self.cur = self.BinarySearchTreeNode(None,None,item)
self.root = self.cur
else:
self.recursiveinsert(self.root,item)
def recursiveinsert(self,node,item):
if node is None:
node = self.BinarySearchTreeNode(None,None,item)
else:
if item < node.item:
self.recursiveinsert(node.leftchildnode,item)
else:
self.recursiveinsert(node.rightchildnode,item)
def inorderdisplay(self):
self.recursive_inorder_display(self.root)
def recursive_inorder_display(self,BinarySearchTreeNode):
if BinarySearchTreeNode != None:
self.recursive_inorder_display(BinarySearchTreeNode.leftchildnode)
print(BinarySearchTreeNode.item)
self.recursive_inorder_display(BinarySearchTreeNode.rightchildnode)
tree = BinarySearchTree()
tree.insert(13)
tree.insert(2)
tree.insert(15)
tree.inorderdisplay()
Once i run the inroder the only result i get is 13, could you point out where's the error?
Your init statement in class BinaryTree should be modified,
You should pass the left and right elements to do that in recursive manner
Please try checking this github repo for further details,
#This should be changed to
def __init__(self,leftchildnode,rightchildnode,item):
self.leftchildnode = leftchildnode
self.rightchildnode = rightchildnode
self.item = item
#Please use this for the structure
def __init__(self, item):
self.leftchildNode = None
self.rightchildNode = None
self.item = item
So you can check the github repo below for detailed code
Please check the github repo here for detailed code

Sometimes None is printed - and sometimes it doesn't, can't get why?

I got this school assignment, here is my code:
class Doubly_linked_node():
def __init__(self, val):
self.value = val
self.next = None
self.prev = None
def __repr__(self):
return str(self.value)
class Deque():
def __init__(self):
self.header = Doubly_linked_node(None)
self.tailer = self.header
self.length = 0
def __repr__(self):
string = str(self.header.value)
index = self.header
while not (index.next is None):
string+=" " + str(index.next.value)
index = index.next
return string
def head_insert(self, item):
new = Doubly_linked_node(item)
new.next=self.header
self.header.prev=new
self.header=new
self.length+=1
if self.tailer.value==None:
self.tailer = self.header
def tail_insert(self, item):
new = Doubly_linked_node(item)
new.prev=self.tailer
self.tailer.next=new
self.tailer=new
self.length+=1
if self.header.value==None:
self.header = self.tailer
it builds a stack, allowing you to add and remove items from the head or tail (I didn't include all the code only the important stuff).
When I initiate an object, if I return self.next it prints None, but if I return self.prev, it prints nothing, just skips, I don't understand why since they are both defined exactly the same as you see, and if I insert only head several times for example for i in range(1,5): D.head_insert(i) and then I print D it prints 5 4 3 2 1 None but if I do tail insert for example for i in range(1,5): D.tail_insert(i) and print D it prints 1 2 3 4 5"as it should without the None. Why is that?
I have included an image:
Keep in mind that you create a Deque which is not empty. You're initializing it with a Node with value None
You're interchanging the value and the Node object. When you're checking if self.tailer.value==None: it's probably not what you're meaning
Following to point 2 is a special handling for the empty Deque, where header and tailer is None
Here is what I have in mind, if I would implement the Deque. I'm slightly changed the return value of __repr__.
class Deque():
def __init__(self):
self.header = None
self.tailer = None
self.length = 0
def __repr__(self):
if self.header is None:
return 'Deque<>'
string = str(self.header.value)
index = self.header.next
while index!=None:
string+=" " + str(index.value)
index = index.next
return 'Deque<'+string+'>'
def head_insert(self, item):
new = Doubly_linked_node(item)
new.next=self.header
if self.length==0:
self.tailer=new
else:
self.header.prev=new
self.header=new
self.length+=1
def tail_insert(self, item):
new = Doubly_linked_node(item)
new.prev=self.tailer
if self.length==0:
self.header=new
else:
self.tailer.next=new
self.tailer=new
self.length+=1
Following Günthers advice, I have modified the __repr__ to this:
def __repr__(self):
string = str(self.header.value)
index = self.header
while not (str(index.next) == "None"):
string += (" " + str(index.next.value))
index = index.next
return string
that did solve the problem, but it is the ugliest solution I have ever seen.
does anyone know a better way?
Following to the question of a better __repr__ method here my proposal. Extend the Deque class with an __iter__ method. So you can iterate over the Deque which is nice to have, e.g.:
for item in D:
print item
Based on that the __repr__ method is easy. Here is the whole change:
def __repr__(self):
return 'Deque<'+' '.join([str(item.value) for item in self])+'>'
def __iter__(self):
index=self.header
while index is not None:
yield index.value
index=index.next

Print a binary tree, python, in inorder

Me and my friend are doing some school work with programming in Python 3.1 and are VERY stuck. We're programming a binary tree and it's working fine except when we want to print all the nodes in inorder in a way that would create a sentence (all the words in inorder just after one another in a row). We have been looking all over the internet for clues as to how to procede and we've been working with this little thing for like two hours. Any advice/help would be awesome.
Our program/Binary tree:
class Treenode:
def __init__(self, it = None, le = None, ri = None):
self.item = it
self.left = le
self.right = ri
class Bintree:
def __init__(self):
self.item = None
self.left = None
self.right = None
def put(self, it = None):
key = Treenode(it)
if self.item == None:
self.item = key
return
p = self.item
while True:
if key.item < p.item:
if p.left == None:
p.left = key
return
else:
p = p.left
elif key.item > p.item:
if p.right == None:
p.right = key
return
else:
p = p.right
else:
return
def exists(self, it):
key = it
p = self.item
if p == key:
return True
while True:
if key < p.item:
if p.left == None:
return False
else:
p = p.left
elif key > p.item:
if p.right == None:
return False
else:
p = p.right
else:
return
def isEmpty(self):
if self.item == None:
return True
else:
return False
def printtree (Treenode):
if Treenode.left != None:
printtree (Treenode.left)
print (Treenode.item)
if Treenode.right != None:
printtree (Treenode.right)
We get a sort of print when we run the program which looks like this: "bintree.Treenode object at 0x02774CB0", which is not what we want.
We use the tree by running this:
import bintree
tree = bintree.Bintree()
print(tree.isEmpty()) # should give True
tree.put("solen")
print(tree.isEmpty()) # should give False
tree.put("gott")
tree.put("sin")
tree.put("hela")
tree.put("ban")
tree.put("upp")
tree.put("himlarunden")
tree.put("manen")
tree.put("seglar")
tree.put("som")
tree.put("en")
tree.put("svan")
tree.put("uti")
tree.put("midnattsstuden")
print(tree.exists("visa")) # should give False
print(tree.exists("ban")) # should give True
tree.printtree() # print sorted
Also, the second last row gives us "None" instead of "True", which is wierd.
To print a binary tree, if you are printing a leaf you just print the value; otherwise, you print the left child then the right child.
def print_tree(tree):
if tree:
print tree.value
print_tree(tree.left)
print_tree(tree.right)
print(tree.exists("visa")) returns None, because in the last line of exists() there's return statement without any value (which defaults to None).
Also you shouldn't name a printtree argument Treenode since it's a name of an existing class and that might lead to confusion. It should look more like:
def printtree(tree_node):
if tree_node.left is not None:
printtree(tree_node.left)
print(tree_node.item)
if tree_node.right is not None:
printtree(tree_node.right)
Another thing is calling printtree - it's a function, not Bintree method, so I suppose you should call it printtree(tree).
One way to make testing easier is to use -assert()- instead of printing things and then referring back to your code.
tree = Bintree()
assert(tree.isEmpty())
tree.put("solen")
assert(not tree.isEmpty())
tree.put("gott")
tree.put("sin")
tree.put("hela")
tree.put("ban")
http://docs.python.org/reference/simple_stmts.html#the-assert-statement
It raises an error if its condition is not true. I know that doesn't fix your bug but making things less ambiguous always helps debugging.
You are not specifying a starting case for printtree(). You're defining how to recurse through your tree correctly, but your call to printtree() has no node to start at. Try setting a default check to see if a parameter is passed in, and if one isn't start at the head node of the bintree.
The reason your second to last line is printing None is because, in your exists method, you just have a "return", rather than a "return True", for the case of finding a `p.item' that is equal to key.

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