ev = [12,42,53,14,86,34]
def Division(ev):
i = 0
j = 0
k = 0
if len(ev) > 1:
middle = (0 + (len(ev)//2))
l = ev[0:middle]
r = ev[middle:]
Division(l)
Division(r)
while (i < len(l) and j < len(r)):
if l[i] <= r[j]:
ev[k] = l[i]
i = i + 1
k = k + 1
else:
ev[k] = r[j]
j = j + 1
k = k + 1
while i < len(l):
ev[k] = l[i]
i = i + 1
k = k + 1
while j < len(r):
ev[k] = r[j]
j = j + 1
k = k + 1
def printList(ev):
for x in range(len(ev)):
print(ev[x],end=" ")
print()
# Driver Code
print("Before:",end=" ")
printList(ev)
Division(ev)
print()
print("After:",end=" ")
printList(ev)
"""Mergesort
The cleaner version than geeks4geeks. Although check that code out too!
"""
## Method 1: Two functions
def mergesort(lst):
# Is sortable
if len(lst) > 1:
# Get mid-point
mid = len(lst) // 2
# Recursive Partition
left = mergesort(lst[:mid])
right = mergesort(lst[mid:])
# Merging
return merge(left, right)
return lst
def merge(left, right):
new = []
# Left and right not empty
while left and right:
# Compare 1st elements of left and right, sort accordingly
if left[0] < right[0]:
new.append(left.pop(0))
else:
new.append(right.pop(0))
# Append the leftover nums
return new + left + right
## Method 2: Nested functions
def merge(nums):
# Recursive partition
if len(nums) > 1:
# Midpoint
mid = len(nums) // 2
left = merge(nums[:mid])
right = merge(nums[mid:])
# Sorting
def go(left, right):
newlist = []
# Sort by comparing 1st elements of both lists
while left and right:
if left[0] < right[0]:
newlist.append(left.pop(0))
else:
newlist.append(right.pop(0))
# Cleanup unsorted elements
return newlist + left + right
return go(left, right)
return nums
# Python program for implementation of MergeSort
def mergeSort(arr):
if len(arr) > 1:
# Finding the mid of the array
mid = len(arr)//2
# Dividing the array elements
L = arr[:mid]
# into 2 halves
R = arr[mid:]
# Sorting the first half
mergeSort(L)
# Sorting the second half
mergeSort(R)
i = j = k = 0
# Copy data to temp arrays L[] and R[]
while i < len(L) and j < len(R):
if L[i] < R[j]:
arr[k] = L[i]
i += 1
else:
arr[k] = R[j]
j += 1
k += 1
# Checking if any element was left
while i < len(L):
arr[k] = L[i]
i += 1
k += 1
while j < len(R):
arr[k] = R[j]
j += 1
k += 1
# Code to print the list
def printList(arr):
for i in range(len(arr)):
print(arr[i], end=" ")
print()
# Driver Code
if __name__ == '__main__':
arr = [12, 11, 13, 5, 6, 7]
print("Given array is", end="
")
printList(arr)
mergeSort(arr)
print("Sorted array is: ", end="
")
printList(arr)
# This code is contributed by Mayank Khanna
# Python program for implementation of MergeSort
# Merges two subarrays of arr[].
# First subarray is arr[l..m]
# Second subarray is arr[m+1..r]
def merge(arr, l, m, r):
n1 = m - l + 1
n2 = r - m
# create temp arrays
L = [0] * (n1)
R = [0] * (n2)
# Copy data to temp arrays L[] and R[]
for i in range(0, n1):
L[i] = arr[l + i]
for j in range(0, n2):
R[j] = arr[m + 1 + j]
# Merge the temp arrays back into arr[l..r]
i = 0 # Initial index of first subarray
j = 0 # Initial index of second subarray
k = l # Initial index of merged subarray
while i < n1 and j < n2:
if L[i] <= R[j]:
arr[k] = L[i]
i += 1
else:
arr[k] = R[j]
j += 1
k += 1
# Copy the remaining elements of L[], if there
# are any
while i < n1:
arr[k] = L[i]
i += 1
k += 1
# Copy the remaining elements of R[], if there
# are any
while j < n2:
arr[k] = R[j]
j += 1
k += 1
# l is for left index and r is right index of the
# sub-array of arr to be sorted
def mergeSort(arr, l, r):
if l < r:
# Same as (l+r)//2, but avoids overflow for
# large l and h
m = l+(r-l)//2
# Sort first and second halves
mergeSort(arr, l, m)
mergeSort(arr, m+1, r)
merge(arr, l, m, r)
# Driver code to test above
arr = [12, 11, 13, 5, 6, 7]
n = len(arr)
print("Given array is")
for i in range(n):
print("%d" % arr[i],end=" ")
mergeSort(arr, 0, n-1)
print("
Sorted array is")
for i in range(n):
print("%d" % arr[i],end=" ")
# This code is contributed by Mohit Kumra
# Python program for implementation of MergeSort
# Merges two subarrays of arr[].
# First subarray is arr[l..m]
# Second subarray is arr[m+1..r]
def merge(arr, l, m, r):
n1 = m - l + 1
n2 = r - m
# create temp arrays
L = [0] * (n1)
R = [0] * (n2)
# Copy data to temp arrays L[] and R[]
for i in range(0, n1):
L[i] = arr[l + i]
for j in range(0, n2):
R[j] = arr[m + 1 + j]
# Merge the temp arrays back into arr[l..r]
i = 0 # Initial index of first subarray
j = 0 # Initial index of second subarray
k = l # Initial index of merged subarray
while i < n1 and j < n2:
if L[i] <= R[j]:
arr[k] = L[i]
i += 1
else:
arr[k] = R[j]
j += 1
k += 1
# Copy the remaining elements of L[], if there
# are any
while i < n1:
arr[k] = L[i]
i += 1
k += 1
# Copy the remaining elements of R[], if there
# are any
while j < n2:
arr[k] = R[j]
j += 1
k += 1
# l is for left index and r is right index of the
# sub-array of arr to be sorted
def mergeSort(arr, l, r):
if l < r:
# Same as (l+r)//2, but avoids overflow for
# large l and h
m = l+(r-l)//2
# Sort first and second halves
mergeSort(arr, l, m)
mergeSort(arr, m+1, r)
merge(arr, l, m, r)
# Driver code to test above
arr = [12, 11, 13, 5, 6, 7]
n = len(arr)
print("Given array is")
for i in range(n):
print("%d" % arr[i],end=" ")
mergeSort(arr, 0, n-1)
print("
Sorted array is")
for i in range(n):
print("%d" % arr[i],end=" ")