Binary Search is applied on the sorted array or list of large size. It’s time complexity of O(log n) makes it very fast as compared to other sorting algorithms. To use binary search on a collection, the collection must first be sorted.
Implement binary search following the below steps:
-1
# Binary search function
def binarySearchAlgo(xlist, key):
a = 0
b = len(xlist)
while a < b:
c = (a + b)//2
if xlist > key:
b = c
elif xlist < key:
a = c + 1
else:
return c
return -1
# input a list of elements
xlist = input('Enter the sorted list of numbers: ')
#split a element
xlist = xlist.split()
xlist = [int(x) for x in xlist]
# search for in list
key = int(input('The number to search for: '))
# call binary search function
index = binarySearchAlgo(xlist, key)
if index < 0:
print('{} was not found.'.format(key))
else:
print('{} was found at index {}.'.format(key, index))
After executing the program, the output will be:
Enter the sorted list of numbers: 1 2 3 4 5 6 7 8 9
The number to search for: 8
8 was found at index 7.
# Python code for recursive binary search
# Returns index of key in xlist if present, else -1
def binarySearch (arr, l, r, x):
# Check base case
if r >= l:
mid = l + (r - l)//2
# If element is present at the middle itself
if arr[mid] == x:
return mid
# If element is smaller than mid, find in left sub array
elif arr[mid] > x:
return binarySearch(arr, l, mid-1, x)
# Otherwise find the element in right subarray
else:
return binarySearch(arr, mid+1, r, x)
else:
# Element is not present in the list
return -1
# input a list of elements
xlist = input('Enter the sorted list of numbers: ')
#split a element
xlist = xlist.split()
xlist = [int(x) for x in xlist]
# search for in list
key = int(input('The number to search for: '))
# Function call
result = binarySearch(xlist, 0, len(xlist)-1, key)
if result != -1:
print('{} was found at index {}.'.format(key, result))
else:
print('{} was not found.'.format(key))
After executing the program, the output will be:
Enter the sorted list of numbers: 1 2 3 4 5 6 7 8
The number to search for: 6
6 was found at index 5.
#python #programming