{"id":34748,"date":"2024-11-01T09:31:32","date_gmt":"2024-11-01T09:31:32","guid":{"rendered":"http:\/\/atmokpo.com\/w\/?p=34748"},"modified":"2024-11-01T11:26:42","modified_gmt":"2024-11-01T11:26:42","slug":"swift-coding-test-course-dictionary-lookup","status":"publish","type":"post","link":"https:\/\/atmokpo.com\/w\/34748\/","title":{"rendered":"Swift Coding Test Course, Dictionary Lookup"},"content":{"rendered":"
\n
\n

Author: [Your Name]<\/p>\n

Written on: [Date]<\/p>\n<\/header>\n

\n

1. Problem Definition<\/h2>\n

\n Recently, the importance of coding tests in IT companies has increased, requiring the ability to solve various algorithm problems.
\n In this course, we will explore algorithm problem-solving using the Swift programming language through the “Word Finder” problem.
\n This problem involves finding the position of a specific word in a given list of words, requiring an understanding of basic data structures and algorithms.\n <\/p>\n

Problem Description<\/h3>\n

\n This problem is to find a specific word in a given list and output its index number.
\n For example, given the following list of words:\n <\/p>\n

\n        Word list: [\"apple\", \"banana\", \"cherry\", \"date\", \"fig\", \"grape\"]\n        Word to find: \"cherry\"\n        <\/pre>\n
\n            In this case, the index of “cherry” is 2. If the word to find is not in the list, it should return -1.\n        <\/p>\n
2. Problem Analysis<\/h2>\n
\n            To solve this problem, it is common to iterate through the given list of words and compare it with the target word.
\n            However, to handle it more efficiently, we can utilize the binary search algorithm.
\n            Binary search is a method used to effectively find a specific value in sorted data, reducing time complexity to O(log n).\n        <\/p>\n
Sorting the List<\/h3>\n
\n            First, the list of words must be sorted to use binary search.
\n            Therefore, we will sort the given list of words before applying binary search.\n        <\/p>\n
3. Algorithm Design<\/h2>\n
\n            The algorithm consists of the following steps:\n        <\/p>\n
    \n
  1. Sort the word list.<\/li>\n
  2. Use binary search to find the specific word.<\/li>\n
  3. Return the found index or -1 if it does not exist.<\/li>\n<\/ol>\n
    4. Code Implementation<\/h2>\n
    \n            Now, let\u2019s implement the above algorithm using Swift.\n        <\/p>\n
    \n        import Foundation\n\n        func binarySearch(words: [String], target: String) -> Int {\n            var low = 0\n            var high = words.count - 1\n\n            while low <= high {\n                let mid = (low + high) \/ 2\n                if words[mid] == target {\n                    return mid\n                } else if words[mid] < target {\n                    low = mid + 1\n                } else {\n                    high = mid - 1\n                }\n            }\n            return -1\n        }\n\n        func findWordIndex(words: [String], target: String) -> Int {\n            let sortedWords = words.sorted()\n            return binarySearch(words: sortedWords, target: target)\n        }\n\n        \/\/ Example\n        let words = [\"apple\", \"banana\", \"cherry\", \"date\", \"fig\", \"grape\"]\n        let target = \"cherry\"\n        let index = findWordIndex(words: words, target: target)\n        print(\"Index number: \\(index)\") \/\/ Result: Index number: 2\n        <\/pre>\n
    5. Code Explanation<\/h2>\n
    \n            The above code consists of the following steps:\n        <\/p>\n