{"id":33950,"date":"2024-11-01T09:22:19","date_gmt":"2024-11-01T09:22:19","guid":{"rendered":"http:\/\/atmokpo.com\/w\/?p=33950"},"modified":"2024-11-01T10:54:45","modified_gmt":"2024-11-01T10:54:45","slug":"c-coding-test-course-dictionary-search","status":"publish","type":"post","link":"https:\/\/atmokpo.com\/w\/33950\/","title":{"rendered":"C# Coding Test Course, Dictionary Search"},"content":{"rendered":"

<\/p>\n

Problem Description<\/h2>\n

\n Given a list of words and a word to search for, the task is to check whether the search word is included in the word list. This problem can
\n be solved using a dictionary data structure. This can be easily implemented in C# using the Dictionary<\/tkey,><\/code> class.\n <\/p>\n

Algorithm Problem<\/h2>\n

Problem <\/h3>\n
\n        Given a list of words words<\/code>, write the following checkWords<\/code> method. \n        \n        The checkWords<\/code> method takes a list of strings and a string as parameters, and it should return true<\/code> if the \n        string is in the list, and false<\/code> if it is not.\n        \n        Example<\/i>\n        \n        Input: words = [\"apple\", \"banana\", \"cherry\"], searchWord = \"banana\" \n        \n        Output: true\n    <\/code><\/pre>\n
Solution<\/h2>\n
\n        One of the most efficient methods to solve this problem is by using a hash table. By using a hash table to store the list of words
\n        beforehand, we can find words with O(1) time complexity during searches. Utilizing C#’s Dictionary<\/code> class allows
\n        us to implement this, so we will solve the problem using the following steps.\n    <\/p>\n
Step 1: Convert the Word List to a Dictionary<\/h3>\n
\n        First, we will convert the given word list into a Dictionary<\/code>. Each word will be used as a key and the value will be
\n        an unnecessary empty string.\n    <\/p>\n
\n        \/\/ C# code\n        using System;\n        using System.Collections.Generic;\n\n        public class DictionarySearch\n        {\n            private Dictionary wordDictionary;\n\n            public DictionarySearch(List words)\n            {\n                wordDictionary = new Dictionary();\n                foreach (var word in words)\n                {\n                    wordDictionary[word] = true; \/\/ Value is not needed, set to true\n                }\n            }\n        }\n        <\/string,><\/string><\/string,><\/code><\/pre>\n
Step 2: Write the Word Search Method<\/h3>\n
\n        Now, we will write the checkWords<\/code> method. This method will check whether the word being searched exists in the dictionary.\n    <\/p>\n
\n        public bool CheckWords(string searchWord)\n        {\n            return wordDictionary.ContainsKey(searchWord);\n        }\n        <\/code><\/pre>\n
Step 3: Implement the Final Class and Method<\/h3>\n
\n        We will combine the above steps to complete the class as a final solution.\n    <\/p>\n
\n        using System;\n        using System.Collections.Generic;\n\n        public class DictionarySearch\n        {\n            private Dictionary wordDictionary;\n\n            public DictionarySearch(List words)\n            {\n                wordDictionary = new Dictionary();\n                foreach (var word in words)\n                {\n                    wordDictionary[word] = true;\n                }\n            }\n\n            public bool CheckWords(string searchWord)\n            {\n                return wordDictionary.ContainsKey(searchWord);\n            }\n        }\n\n        class Program\n        {\n            static void Main(string[] args)\n            {\n                List words = new List { \"apple\", \"banana\", \"cherry\" };\n                DictionarySearch dictionarySearch = new DictionarySearch(words);\n\n                Console.WriteLine(dictionarySearch.CheckWords(\"banana\")); \/\/ Output: true\n                Console.WriteLine(dictionarySearch.CheckWords(\"grape\")); \/\/ Output: false\n            }\n        }\n        <\/string><\/string><\/string,><\/string><\/string,><\/code><\/pre>\n
Complexity Analysis<\/h2>\n
\n        – Time complexity: O(1) – Using a hash table to store and search for words is optimally performed in O(1) time.
\n        – Space complexity: O(n) – Proportional to the size n of the given word list.\n    <\/p>\n
Key Points<\/h2>\n
\n        – Using the Dictionary<\/code> class is key to solving the problem. It ensures fast search speeds.
\n        – In string comparisons, the results may differ based on case sensitivity, so caution is needed.
\n        – After running the overall code, it is necessary to validate it through various test cases.\n    <\/p>\n
Conclusion<\/h2>\n
\n        In this tutorial, we explained how to solve the dictionary search problem using C#. We demonstrated that a data structure approach
\n        utilizing a hash table can efficiently satisfy the problem’s given conditions. The use of such data structures is frequently encountered
\n        in actual coding tests, so practicing in advance is important.\n    <\/p>\n
<\/body><\/p>\n","protected":false},"excerpt":{"rendered":"
Problem Description Given a list of words and a word to search for, the task is to check whether the search word is included in the word list. This problem can be solved using a dictionary data structure. This can be easily implemented in C# using the Dictionary class. 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