2020-09-12 05:50:12 +00:00
|
|
|
"""
|
|
|
|
Pure Python implementation of the jump search algorithm.
|
|
|
|
This algorithm iterates through a sorted collection with a step of n^(1/2),
|
|
|
|
until the element compared is bigger than the one searched.
|
|
|
|
It will then perform a linear search until it matches the wanted number.
|
|
|
|
If not found, it returns -1.
|
|
|
|
"""
|
|
|
|
|
2017-10-12 09:10:15 +00:00
|
|
|
import math
|
2019-10-05 05:14:13 +00:00
|
|
|
|
|
|
|
|
2020-09-12 05:50:12 +00:00
|
|
|
def jump_search(arr: list, x: int) -> int:
|
|
|
|
"""
|
|
|
|
Pure Python implementation of the jump search algorithm.
|
|
|
|
Examples:
|
|
|
|
>>> jump_search([0, 1, 2, 3, 4, 5], 3)
|
|
|
|
3
|
|
|
|
>>> jump_search([-5, -2, -1], -1)
|
|
|
|
2
|
|
|
|
>>> jump_search([0, 5, 10, 20], 8)
|
|
|
|
-1
|
|
|
|
>>> jump_search([0, 1, 1, 2, 3, 5, 8, 13, 21, 34, 55, 89, 144, 233, 377, 610], 55)
|
|
|
|
10
|
|
|
|
"""
|
|
|
|
|
2017-10-12 09:10:15 +00:00
|
|
|
n = len(arr)
|
2018-04-13 01:56:40 +00:00
|
|
|
step = int(math.floor(math.sqrt(n)))
|
2017-10-12 09:10:15 +00:00
|
|
|
prev = 0
|
2019-10-05 05:14:13 +00:00
|
|
|
while arr[min(step, n) - 1] < x:
|
2017-10-12 09:10:15 +00:00
|
|
|
prev = step
|
2018-04-13 01:56:40 +00:00
|
|
|
step += int(math.floor(math.sqrt(n)))
|
2017-10-12 09:10:15 +00:00
|
|
|
if prev >= n:
|
|
|
|
return -1
|
|
|
|
|
|
|
|
while arr[prev] < x:
|
|
|
|
prev = prev + 1
|
|
|
|
if prev == min(step, n):
|
|
|
|
return -1
|
|
|
|
if arr[prev] == x:
|
|
|
|
return prev
|
|
|
|
return -1
|
|
|
|
|
|
|
|
|
2020-01-18 12:24:33 +00:00
|
|
|
if __name__ == "__main__":
|
2020-09-12 05:50:12 +00:00
|
|
|
user_input = input("Enter numbers separated by a comma:\n").strip()
|
|
|
|
arr = [int(item) for item in user_input.split(",")]
|
|
|
|
x = int(input("Enter the number to be searched:\n"))
|
|
|
|
res = jump_search(arr, x)
|
|
|
|
if res == -1:
|
|
|
|
print("Number not found!")
|
|
|
|
else:
|
|
|
|
print(f"Number {x} is at index {res}")
|