#
# @lc app=leetcode id=704 lang=python3
#
# [704] Binary Search
#
# https://leetcode.com/problems/binary-search/description/
#
# algorithms
# Easy (56.17%)
# Likes: 10770
# Dislikes: 215
# Total Accepted: 2M
# Total Submissions: 3.5M
# Testcase Example: '[-1,0,3,5,9,12]\n9'
#
# Given an array of integers nums which is sorted in ascending order, and an
# integer target, write a function to search target in nums. If target exists,
# then return its index. Otherwise, return -1.
#
# You must write an algorithm with O(log n) runtime complexity.
#
#
# Example 1:
#
#
# Input: nums = [-1,0,3,5,9,12], target = 9
# Output: 4
# Explanation: 9 exists in nums and its index is 4
#
#
# Example 2:
#
#
# Input: nums = [-1,0,3,5,9,12], target = 2
# Output: -1
# Explanation: 2 does not exist in nums so return -1
#
#
#
# Constraints:
#
#
# 1 <= nums.length <= 10^4
# -10^4 < nums[i], target < 10^4
# All the integers in nums are unique.
# nums is sorted in ascending order.
#
#
#
# @lc code=start
from typing import List
class Solution:
def search(self, nums: List[int], target: int) -> int:
i = 0
j = len(nums) - 1
while i <= j:
m = (i+j)//2
if nums[m] > target:
j = m - 1
elif nums[m] < target:
i = m + 1
else:
return m
return -1
# @lc code=end