Skip to content

Create insertion.py #11

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Open
wants to merge 4 commits into
base: main
Choose a base branch
from
Open
Show file tree
Hide file tree
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
23 changes: 23 additions & 0 deletions insertion.py
Original file line number Diff line number Diff line change
@@ -0,0 +1,23 @@
# Insertion sort in Python


def insertionSort(array):

for step in range(1, len(array)):
key = array[step]
j = step - 1

# Compare key with each element on the left of it until an element smaller than it is found
# For descending order, change key<array[j] to key>array[j].
while j >= 0 and key < array[j]:
array[j + 1] = array[j]
j = j - 1

# Place key at after the element just smaller than it.
array[j + 1] = key


data = [9, 5, 1, 4, 3]
insertionSort(data)
print('Sorted Array in Ascending Order:')
print(data)
41 changes: 41 additions & 0 deletions knapsack_problem.py
Original file line number Diff line number Diff line change
@@ -0,0 +1,41 @@
# A naive recursive implementation
# of 0-1 Knapsack Problem

# Returns the maximum value that
# can be put in a knapsack of
# capacity W


def knapSack(W, wt, val, n):

# Base Case
if n == 0 or W == 0:
return 0

# If weight of the nth item is
# more than Knapsack of capacity W,
# then this item cannot be included
# in the optimal solution
if (wt[n-1] > W):
return knapSack(W, wt, val, n-1)

# return the maximum of two cases:
# (1) nth item included
# (2) not included
else:
return max(
val[n-1] + knapSack(
W-wt[n-1], wt, val, n-1),
knapSack(W, wt, val, n-1))

# end of function knapSack


#Driver Code
val = [60, 100, 120]
wt = [10, 20, 30]
W = 50
n = len(val)
print knapSack(W, wt, val, n)

# This code is contributed by Nikhil Kumar Singh
61 changes: 61 additions & 0 deletions tree.py
Original file line number Diff line number Diff line change
@@ -0,0 +1,61 @@
# Python3 program to
# implement Tree Sort

# Class containing left and
# right child of current
# node and key value
class Node:

def __init__(self,item = 0):
self.key = item
self.left,self.right = None,None


# Root of BST
root = Node()

root = None

# This method mainly
# calls insertRec()
def insert(key):
global root
root = insertRec(root, key)

# A recursive function to
# insert a new key in BST
def insertRec(root, key):

# If the tree is empty,
# return a new node

if (root == None):
root = Node(key)
return root

# Otherwise, recur
# down the tree
if (key < root.key):
root.left = insertRec(root.left, key)
elif (key > root.key):
root.right = insertRec(root.right, key)

# return the root
return root

# A function to do
# inorder traversal of BST
def inorderRec(root):
if (root != None):
inorderRec(root.left)
print(root.key ,end = " ")
inorderRec(root.right)

def treeins(arr):
for i in range(len(arr)):
insert(arr[i])

# Driver Code
arr = [5, 4, 7, 2, 11]
treeins(arr)
inorderRec(root)