Given a sorted array of distinct integers and a target value, return the index if the target is found. If not, return the index where it would be if it were inserted in order.
Example 1:
Input: nums = [1,3,5,6], target = 5 Output: 2
Example 2:
Input: nums = [1,3,5,6], target = 2 Output: 1
Example 3:
Input: nums = [1,3,5,6], target = 7 Output: 4
Example 4:
Input: nums = [1,3,5,6], target = 0 Output: 0
Example 5:
Input: nums = [1], target = 0 Output: 0
Constraints:
1 <= nums.length <= 104
-104 <= nums[i] <= 104
nums
contains distinct values sorted in ascending order.-104 <= target <= 104
Source
def search_insert(nums, target):
"""iterative approach."""
# uncoment to make faster
# if target <= nums[0]:
# return 0
# if nums[-1] == target:
# return len(nums)-1
# if nums[-1] < target:
# return len(nums)
left = 0
right = len(nums)-1
while left <= right:
mid = (left + right) // 2
if nums[mid] == target:
return mid
if nums[mid] < target:
left = mid+1
else:
right = mid-1
return left
def search_insert(nums, target):
"""variation of above solution"""
left = 0
right = len(nums)
mid = (left + right) // 2
while left < right:
if nums[mid] == target:
return mid
if nums[mid] < target:
left = mid+1
else:
right = mid
mid = (left + right) // 2
return mid
from bisect import bisect_left
def search_insert(nums, target):
"""Cheating method using bisert."""
return bisect_left(nums, target)
nums = [1, 3, 5, 6]
target = 5
search_insert(nums, target)
2
nums = [1, 3, 5, 6]
target = 2
search_insert(nums, target)
1
nums = [1, 3, 5, 6]
target = 7
search_insert(nums, target)
4
nums = [1, 3, 5, 6]
target = 0
search_insert(nums, target)
0
nums = [1]
target = 0
search_insert(nums, target)
0
nums = []
target = 10
search_insert(nums, target)
0
Can you solve it both iteratively and recursively?
def search_insert(nums, target):
"""recursive solution"""
def bs_recur(left, right, target):
nonlocal nums
# base cases
if left > right:
return left
mid = (left + right) // 2
if target == nums[mid]:
return mid
# recursive relation
if target < nums[mid]:
return bs_recur(left, mid - 1, target)
return bs_recur(mid + 1, right, target)
return bs_recur(0, len(nums)-1, target)