给出两张清单 清单1 和 清单2 包含 M 和 N 项目分别。每个项目都与两个字段关联:名称和价格。问题是要计算两个清单中价格不同的物品。
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例如:
Input : list1[] = {{"apple", 60}, {"bread", 20}, {"wheat", 50}, {"oil", 30}} list2[] = {{"milk", 20}, {"bread", 15}, {"wheat", 40}, {"apple", 60}}Output : 2bread and wheat are the two items common to both thelists but with different prices.
资料来源: 认知面试经验|第5组。
方法1(天真的方法): 使用两个嵌套循环比较 清单1 所有的物品 清单2 .如果发现匹配项的价格不同,则增加 计数 .
C++
// C++ implementation to count items common to both // the lists but with different prices #include <bits/stdc++.h> using namespace std; // details of an item struct item { string name; int price; }; // function to count items common to both // the lists but with different prices int countItems(item list1[], int m, item list2[], int n) { int count = 0; // for each item of 'list1' check if it is in 'list2' // but with a different price for ( int i = 0; i < m; i++) for ( int j = 0; j < n; j++) if ((list1[i].name.compare(list2[j].name) == 0) && (list1[i].price != list2[j].price)) count++; // required count of items return count; } // Driver program to test above int main() { item list1[] = {{ "apple" , 60}, { "bread" , 20}, { "wheat" , 50}, { "oil" , 30}}; item list2[] = {{ "milk" , 20}, { "bread" , 15}, { "wheat" , 40}, { "apple" , 60}}; int m = sizeof (list1) / sizeof (list1[0]); int n = sizeof (list2) / sizeof (list2[0]); cout << "Count = " << countItems(list1, m, list2, n); return 0; } |
JAVA
// Java implementation to count items common to both // the lists but with different prices class GFG{ // details of an item static class item { String name; int price; public item(String name, int price) { this .name = name; this .price = price; } }; // function to count items common to both // the lists but with different prices static int countItems(item list1[], int m, item list2[], int n) { int count = 0 ; // for each item of 'list1' check if it is in 'list2' // but with a different price for ( int i = 0 ; i < m; i++) for ( int j = 0 ; j < n; j++) if ((list1[i].name.compareTo(list2[j].name) == 0 ) && (list1[i].price != list2[j].price)) count++; // required count of items return count; } // Driver code public static void main(String[] args) { item list1[] = { new item( "apple" , 60 ), new item( "bread" , 20 ), new item( "wheat" , 50 ), new item( "oil" , 30 )}; item list2[] = { new item( "milk" , 20 ), new item( "bread" , 15 ), new item( "wheat" , 40 ), new item( "apple" , 60 )}; int m = list1.length; int n = list2.length; System.out.print( "Count = " + countItems(list1, m, list2, n)); } } // This code is contributed by 29AjayKumar |
Python3
# Python implementation to # count items common to both # the lists but with different # prices # function to count items # common to both # the lists but with different prices def countItems(list1, list2): count = 0 # for each item of 'list1' # check if it is in 'list2' # but with a different price for i in list1: for j in list2: if i[ 0 ] = = j[ 0 ] and i[ 1 ] ! = j[ 1 ]: count + = 1 # required count of items return count # Driver program to test above list1 = [( "apple" , 60 ), ( "bread" , 20 ), ( "wheat" , 50 ), ( "oil" , 30 )] list2 = [( "milk" , 20 ), ( "bread" , 15 ), ( "wheat" , 40 ), ( "apple" , 60 )] print ( "Count = " , countItems(list1, list2)) # This code is contributed by Ansu Kumari. |
C#
// C# implementation to count items common to both // the lists but with different prices using System; class GFG{ // details of an item class item { public String name; public int price; public item(String name, int price) { this .name = name; this .price = price; } }; // function to count items common to both // the lists but with different prices static int countItems(item []list1, int m, item []list2, int n) { int count = 0; // for each item of 'list1' check if it is in 'list2' // but with a different price for ( int i = 0; i < m; i++) for ( int j = 0; j < n; j++) if ((list1[i].name.CompareTo(list2[j].name) == 0) && (list1[i].price != list2[j].price)) count++; // required count of items return count; } // Driver code public static void Main(String[] args) { item []list1 = { new item( "apple" , 60), new item( "bread" , 20), new item( "wheat" , 50), new item( "oil" , 30)}; item []list2 = { new item( "milk" , 20), new item( "bread" , 15), new item( "wheat" , 40), new item( "apple" , 60)}; int m = list1.Length; int n = list2.Length; Console.Write( "Count = " + countItems(list1, m, list2, n)); } } // This code is contributed by PrinciRaj1992 |
Javascript
<script> // Javascript implementation to // count items common to both // the lists but with different prices // function to count items common to both // the lists but with different prices function countItems(list1, m, list2, n) { var count = 0; // for each item of 'list1' // check if it is in 'list2' // but with a different price for ( var i = 0; i < m; i++) for ( var j = 0; j < n; j++) if (list1[i][0] === list2[j][0] && (list1[i][1] != list2[j][1])) count++; // required count of items return count; } // Driver program to test above var list1 = [[ "apple" , 60], [ "bread" , 20], [ "wheat" , 50], [ "oil" , 30]]; var list2 = [[ "milk" , 20], [ "bread" , 15], [ "wheat" , 40], [ "apple" , 60]]; var m = list1.length; var n = list2.length; document.write( "Count = " + countItems(list1, m, list2, n)); </script> |
输出:
Count = 2
时间复杂度:O(m*n)。 辅助空间:O(1)。
方法2(二进制搜索): 分类 清单2 按项目名称的字母顺序排列。现在,对于每一项 清单1 检查是否存在 清单2 使用二进制搜索技术,并从 清单2 .如果价格不同,则增加 计数 .
C++
// C++ implementation to count // items common to both the lists // but with different prices #include <bits/stdc++.h> using namespace std; // Details of an item struct item { string name; int price; }; // comparator function // used for sorting bool compare( struct item a, struct item b) { return (a.name.compare (b.name) <= 0); } // Function to search 'str' // in 'list2[]'. If it exists then // price associated with 'str' // in 'list2[]' is being returned // else -1 is returned. Here binary // search technique is being applied // for searching int binary_search(item list2[], int low, int high, string str) { while (low <= high) { int mid = (low + high) / 2; // if true the item 'str' // is in 'list2' if (list2[mid].name.compare(str) == 0) return list2[mid].price; else if (list2[mid].name.compare(str) < 0) low = mid + 1; else high = mid - 1; } // item 'str' is not in 'list2' return -1; } // Function to count items common to both // the lists but with different prices int countItems(item list1[], int m, item list2[], int n) { // sort 'list2' in alphabetical // order of items name sort(list2, list2 + n, compare); // initial count int count = 0; for ( int i = 0; i < m; i++) { // get the price of item 'list1[i]' // from 'list2' if item in not // present in second list then // -1 is being obtained int r = binary_search(list2, 0, n - 1, list1[i].name); // if item is present in list2 // with a different price if ((r != -1) && (r != list1[i].price)) count++; } // Required count of items return count; } // Driver code int main() { item list1[] = {{ "apple" , 60}, { "bread" , 20}, { "wheat" , 50}, { "oil" , 30}}; item list2[] = {{ "milk" , 20}, { "bread" , 15}, { "wheat" , 40}, { "apple" , 60}}; int m = sizeof (list1) / sizeof (list1[0]); int n = sizeof (list2) / sizeof (list2[0]); cout << "Count = " << countItems(list1, m, list2, n); return 0; } |
JAVA
// Java implementation to count // items common to both the lists // but with different prices import java.util.*; class GFG{ // Details of an item static class item { String name; int price; item(String name, int price) { this .name = name; this .price = price; } }; // comparator function used for sorting static class Com implements Comparator<item> { public int compare(item a, item b) { return a.name.compareTo(b.name); } } // Function to search 'str' in 'list2[]'. // If it exists then price associated // with 'str' in 'list2[]' is being // returned else -1 is returned. Here // binary search technique is being // applied for searching static int binary_search(item list2[], int low, int high, String str) { while (low <= high) { int mid = (low + high) / 2 ; // if true the item 'str' is in 'list2' if (list2[mid].name.compareTo(str) == 0 ) return list2[mid].price; else if (list2[mid].name.compareTo(str) < 0 ) low = mid + 1 ; else high = mid - 1 ; } // item 'str' is not // in 'list2' return - 1 ; } // Function to count items common to both // the lists but with different prices static int countItems(item list1[], int m, item list2[], int n) { // sort 'list2' in alphabetical // order of items name Arrays.sort(list2, new Com()); // initial count int count = 0 ; for ( int i = 0 ; i < m; i++) { // get the price of item 'list1[i]' // from 'list2' if item in not // present in second list then -1 // is being obtained int r = binary_search(list2, 0 , n - 1 , list1[i].name); // if item is present in list2 // with a different price if ((r != - 1 ) && (r != list1[i].price)) count++; } // Required count of items return count; } // Driver code public static void main(String[] args) { item[] list1 = { new item( "apple" , 60 ), new item( "bread" , 20 ), new item( "wheat" , 50 ), new item( "oil" , 30 )}; item list2[] = { new item( "milk" , 20 ), new item( "bread" , 15 ), new item( "wheat" , 40 ), new item( "apple" , 60 )}; int m = list1.length; int n = list2.length; System.out.print( "Count = " + countItems(list1, m, list2, n)); } } // This code is contributed by 29AjayKumar |
Javascript
<script> // Javascript implementation to count // items common to both the lists // but with different prices // Details of an item class item { constructor(name,price) { this .name = name; this .price = price; } } // Function to search 'str' in 'list2[]'. // If it exists then price associated // with 'str' in 'list2[]' is being // returned else -1 is returned. Here // binary search technique is being // applied for searching function binary_search(list2,low,high,str) { while (low <= high) { let mid = Math.floor((low + high) / 2); // if true the item 'str' is in 'list2' if (list2[mid].name == (str)) return list2[mid].price; else if (list2[mid].name < (str)) low = mid + 1; else high = mid - 1; } // item 'str' is not // in 'list2' return -1; } // Function to count items common to both // the lists but with different prices function countItems(list1, m, list2, n) { // sort 'list2' in alphabetical // order of items name list2.sort( function (a,b){ return a.name==b.name;}); // initial count let count = 0; for (let i = 0; i < m; i++) { // get the price of item 'list1[i]' // from 'list2' if item in not // present in second list then -1 // is being obtained let r = binary_search(list2, 0, n - 1, list1[i].name); // if item is present in list2 // with a different price if ((r != -1) && (r != list1[i].price)) count++; } // Required count of items return count; } // Driver code let list1=[ new item( "apple" , 60), new item( "bread" , 20), new item( "wheat" , 50), new item( "oil" , 30)]; let list2=[ new item( "milk" , 20), new item( "bread" , 15), new item( "wheat" , 40), new item( "apple" , 60)]; let m = list1.length; let n = list2.length; document.write( "Count = " + countItems(list1, m, list2, n)); // This code is contributed by patel2127 </script> |
输出:
Count = 2
时间复杂度:(m*log) 2. n) 。 辅助空间:O(1)。 为了提高效率,应该对元素数最多的列表进行排序,并用于二进制搜索。
方法3(有效方法): 使用创建哈希表 (关键,价值) 元组作为 (商品名称、价格) .插入 清单1 在哈希表中。现在,对于 清单2 检查它是否是哈希表。如果存在,则检查其价格是否与哈希表中的值不同。如果是这样,则增加 计数 .
C++
// C++ implementation to count items common to both // the lists but with different prices #include <bits/stdc++.h> using namespace std; // details of an item struct item { string name; int price; }; // function to count items common to both // the lists but with different prices int countItems(item list1[], int m, item list2[], int n) { // 'um' implemented as hash table that contains // item name as the key and price as the value // associated with the key unordered_map<string, int > um; int count = 0; // insert elements of 'list1' in 'um' for ( int i = 0; i < m; i++) um[list1[i].name] = list1[i].price; // for each element of 'list2' check if it is // present in 'um' with a different price // value for ( int i = 0; i < n; i++) if ((um.find(list2[i].name) != um.end()) && (um[list2[i].name] != list2[i].price)) count++; // required count of items return count; } // Driver program to test above int main() { item list1[] = {{ "apple" , 60}, { "bread" , 20}, { "wheat" , 50}, { "oil" , 30}}; item list2[] = {{ "milk" , 20}, { "bread" , 15}, { "wheat" , 40}, { "apple" , 60}}; int m = sizeof (list1) / sizeof (list1[0]); int n = sizeof (list2) / sizeof (list2[0]); cout << "Count = " << countItems(list1, m, list2, n); return 0; } |
JAVA
// Java implementation to count // items common to both the lists // but with different prices import java.util.*; class GFG{ // details of an item static class item { String name; int price; public item(String name, int price) { this .name = name; this .price = price; } }; // function to count items common to both // the lists but with different prices static int countItems(item list1[], int m, item list2[], int n) { // 'um' implemented as hash table that contains // item name as the key and price as the value // associated with the key HashMap<String, Integer> um = new HashMap<>(); int count = 0 ; // insert elements of 'list1' in 'um' for ( int i = 0 ; i < m; i++) um.put(list1[i].name, list1[i].price); // for each element of 'list2' check if it is // present in 'um' with a different price // value for ( int i = 0 ; i < n; i++) if ((um.containsKey(list2[i].name)) && (um.get(list2[i].name) != list2[i].price)) count++; // required count of items return count; } // Driver program to test above public static void main(String[] args) { item list1[] = { new item( "apple" , 60 ), new item( "bread" , 20 ), new item( "wheat" , 50 ), new item( "oil" , 30 )}; item list2[] = { new item( "milk" , 20 ), new item( "bread" , 15 ), new item( "wheat" , 40 ), new item( "apple" , 60 )}; int m = list1.length; int n = list2.length; System.out.print( "Count = " + countItems(list1, m, clist2, n)); } } // This code is contributed by gauravrajput1 |
C#
// C# implementation to count // items common to both the lists // but with different prices using System; using System.Collections.Generic; class GFG{ // Details of an item public class item { public String name; public int price; public item(String name, int price) { this .name = name; this .price = price; } }; // Function to count items common to // both the lists but with different prices static int countItems(item []list1, int m, item []list2, int n) { // 'um' implemented as hash table // that contains item name as the // key and price as the value // associated with the key Dictionary<String, int > um = new Dictionary<String, int >(); int count = 0; // Insert elements of 'list1' // in 'um' for ( int i = 0; i < m; i++) um.Add(list1[i].name, list1[i].price); // For each element of 'list2' // check if it is present in // 'um' with a different price // value for ( int i = 0; i < n; i++) if ((um.ContainsKey(list2[i].name)) && (um[list2[i].name] != list2[i].price)) count++; // Required count of items return count; } // Driver code public static void Main(String[] args) { item []list1 = { new item( "apple" , 60), new item( "bread" , 20), new item( "wheat" , 50), new item( "oil" , 30)}; item []list2 = { new item( "milk" , 20), new item( "bread" , 15), new item( "wheat" , 40), new item( "apple" , 60)}; int m = list1.Length; int n = list2.Length; Console.Write( "Count = " + countItems(list1, m, list2, n)); } } // This code is contributed by shikhasingrajput |
Javascript
<script> // JavaScript implementation to count // items common to both the lists // but with different prices // details of an item class item { constructor(name,price) { this .name = name; this .price = price; } } // function to count items common to both // the lists but with different prices function countItems(list1,m,list2,n) { // 'um' implemented as hash table that contains // item name as the key and price as the value // associated with the key let um = new Map(); let count = 0; // insert elements of 'list1' in 'um' for (let i = 0; i < m; i++) um.set(list1[i].name, list1[i].price); // for each element of 'list2' check if it is // present in 'um' with a different price // value for (let i = 0; i < n; i++) if ((um.has(list2[i].name)) && (um.get(list2[i].name) != list2[i].price)) count++; // required count of items return count; } // Driver program to test above let list1=[ new item( "apple" , 60), new item( "bread" , 20), new item( "wheat" , 50), new item( "oil" , 30)]; let list2=[ new item( "milk" , 20), new item( "bread" , 15), new item( "wheat" , 40), new item( "apple" , 60)]; let m = list1.length; let n = list2.length; document.write( "Count = " + countItems(list1, m, list2, n)); // This code is contributed by unknown2108 </script> |
输出:
Count = 2
时间复杂度:O(m+n)。 辅助空间:O(m)。 为了提高效率,应该在哈希表中插入元素数最少的列表。
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